Jahidul ARAFAT

PhD Candidate, Presidential & Woltosz Graduate Research Fellow |
DevSecOps, Cloud & CyberSec Architect | AI Team Lead, OrangeBD | Former L3 Sr Solution & Cloud Architect, Oracle |
Former L4 Principal System Analyst bKash (Unicorn, Alipay) |
Program Committee Member, EASE 2025 (International Conference on Evaluation and Assessment in Software Engineering)

Professional Summary

Distinguished Software Engineer (DevSecOps) and NSF-funded PhD researcher with 10+ years developing secure, scalable distributed systems. Presidential and Woltosz Graduate Research Fellow leading CNCF-compliant Kubernetes operator security research. Expert in TypeScript, Rust, Java, AWS, OCI, AI/ML with proven technical leadership at Oracle, bKash (Alipay), HWW handling 10M+ concurrent users. Specializes in GenAI/RAG architectures, federated ML, and LLM deployment on HuggingFace infrastructure. World's 2nd highest AWS Solutions Architect scorer (97%) with 35+ certifications including AWS, Oracle Cloud (93.3%), ISC2, EC-Council CEH, CompTIA+, RedHat RHCSA, and PCI-DSS. Maintains 20+ top-ranked GitHub repositories (500+ stars) contributing to CNCF ecosystem with production-ready tools on PyPI/TestPyPI. Created enterprise solutions: operatorhub-scraper, ottpredictor, log4j vulnerability simulators, and GenAI frameworks. Conducted 100+ technical workshops globally. Discovered critical bugs leading to Oracle career opportunities: Cloud Console vulnerability (2021) and MySQL PaaS design flaws (2022). Designed enterprise architectures: X-Road compliant e-government platforms, PCI-DSS payment systems (600K/min transactions), fault-tolerant OTT platforms (10M+ users), and CloudNative modernization for Fortune 500s. Top 4% global cybersecurity ranking (TryHackMe), HackerRank Python score 2296.4/2300.

Technical Skills

Languages
TypeScript, Rust, Java, Python, Go, Haskell, JavaScript, Structured Query Language (SQL), Kusto Query Language (KQL), Bash, F*, Coq, OCaml
AI/ML & Research
PyTorch, TensorFlow, Generative Adversarial Networks (GANs), Retrieval Augmented Generation (RAG), Large Language Model (LLM) Training, Computer Vision, Time Series Analysis, Federated Machine Learning (ML), HuggingFace Transformers, Transformers Library, LangChain, LlamaIndex, Model Context Protocol (MCP) Servers, LM Studio, Google Vertex AI, Ollama, Anthropic Claude API, OpenAI API, Scikit-learn, XGBoost, LightGBM, MLflow, Weights & Biases (W&B), SMT Solvers
Databases & Storage
Oracle Database, Oracle Autonomous Database, DynamoDB, PostgreSQL, MySQL, Cassandra, CockroachDB, Redis Cluster, Vector Databases (Weaviate, LanceDB, Pinecone, Chroma), MongoDB, Neo4j Graph Database, Elasticsearch, InfluxDB, ScyllaDB, Amazon RDS Aurora, Oracle Exadata, Azure Data Explorer (Kusto), Azure Log Analytics
Cloud/DevOps
Amazon Web Services (AWS), Oracle Cloud Infrastructure (OCI), Azure DevSecOps, Kubernetes, Docker, Terraform, Ansible, Apache Kafka, Jenkins, GitLab CI/CD, GitHub Actions, Travis CI, Circle CI, EKS, AWS Batch HPC, EMR Spark, Fargate Serverless, ArgoCD GitOps, K8sGPT
Security & Analysis
Payment Card Industry Data Security Standard (PCI-DSS), Static Application Security Testing/Dynamic Application Security Testing (SAST/DAST), SonarQube Quality Gates, SAST/DAST Template Design, Dependency Vulnerability Scanning, Vulnerability Assessment, Supply Chain Security, Software Bill of Materials (SBOM), Kyverno Policy-as-Code, OPA Rego, Bandit Security Analysis, Forensic Analysis, Zero-Trust Architecture
Formal Methods
F* Functional Programming, Coq Proof Assistant, Satisfiability Modulo Theories (SMT) Solvers, Java Abstract Syntax Tree (AST) Parsing, Dependency Graph Analysis, Theorem Proving, NP-Complete Algorithm Design, Formal Verification Models
Full Stack & Arch.
Next.js, React.js, Express.js, Node.js, Vercel, Jest, Puppeteer, Middleware Design, Async/Non-blocking I/O, Database Design, API Architecture, Microservices, Event-driven Systems, GraphQL, REST APIs, ORDS RESTful APIs
Dev Frameworks
NPM/Yarn, Next.js, Java Helidon, Java Spring Boot, Java Micronaut, Maven, Gradle, AWS DevSecOps SDKs, Oracle Data Science SDKs, Oracle DevSecOps SDKs, Quarkus, Vert.x, Fastify, Vite, Webpack, ESBuild, TypeScript Compiler API, JUnit 5, Testcontainers
Python Dev
FastAPI, Django, Flask, Gunicorn, Uvicorn, Celery, Pydantic, Poetry, Pipenv, PyTest, Black, Flake8, mypy, Streamlit, Gradio, Jupyter Notebooks, IPython, Anaconda, Conda, Matplotlib, Seaborn, Plotly, Bokeh, Pandas, NumPy, SciPy
Data & Visualization
Algorithm Visualization, Technical Debt Detection, Code Quality Metrics, Team Dynamics Analysis, Interactive Learning Platforms, Real-time Metrics, Performance Analysis, Apache Spark, Data Pipeline Orchestration
Infrastructure & Simulation
Multi-Cloud Hybrid Architectures, Edge Federated Learning, Container Orchestration, Kubernetes Operators, Minecraft Server Architecture, Gaming Platform Design, OTT Platform Scaling, Live Streaming Infrastructure, Content Delivery Networks (CDN), Load Balancing
Serverless & Operator
AWS Lambda, Azure Functions, Oracle Functions, Serverless Framework, AWS SAM, Terraform CDK, Kubernetes Operator SDK, Kubebuilder, KUDO, Helm Charts, Kustomize, Operator Lifecycle Manager (OLM), Custom Resource Definitions (CRDs), Controller Runtime

Education

2024—Present

PhD Computer Science & Software Engineering

Auburn University | USA | CGPA: 3.89/4.00 (Continue)

NSF Presidential Graduate Research Fellow - Kubernetes Operator Security
2022—2024

Masters Information System Security

Bangladesh University of Professionals | BD | CGPA: 3.83/4.00

ML/LLM for Anomaly Detection
2008—2011

Masters of Science (TE) in CSIT

Islamic University of Technology | BD | CGPA: 3.94/4.00

Major: CyberSecurity
2004—2008

Bachelor Computer Science & Engineering

Dhaka University | BD | CGPA: 3.88/4.00 (last 80 credits)

Professional Experience

Jul 2025—Jan 2026

Chief Technology Advisor & AI Team Lead

Orange Business Development Ltd. | Contract/Hybrid

  • Leading architectural transformation of national digital platforms using cloud-native, AI-first, and secure-by-design strategies for clients across North America and Australia
  • Spearheading Retrieval Augmented Generation (RAG) enhanced Generative AI (GenAI) solutions across government platforms, enabling intelligent search, contextual guidance, and autonomous service interaction
  • Re-architecting legacy systems into Kubernetes-native microservice ecosystems with Infrastructure as Code (IaC), GitOps, and DevSecOps pipelines across Azure and multi-cloud environments
  • Implementing Software Bill of Materials (SBOM), Artifacts-Metadata-Attestation-Policies (A-MAP), and zero-trust principles for software supply chain security
  • Deploying federated Machine Learning (ML) models and Large Language Model (LLM) solutions on HuggingFace infrastructure for scalable AI service delivery
  • Designing Model Context Protocol (MCP) agentic servers for seamless Large Language Model (LLM) integration with enterprise systems and government databases
  • Mentoring teams on secure cloud engineering, Generative AI (GenAI) code tooling, Retrieval Augmented Generation (RAG) pipelines, AI observability frameworks, and Azure DevSecOps best practices
  • Architecting high-performance game server infrastructures and simulation environments for training AI agents with Model Context Protocol (MCP) based intelligent automation
Aug 2024—Present

Presidential & Woltosz Graduate Research Fellow

Auburn University | USA

  • Leading National Science Foundation (NSF) funded Cloud Native Computing Foundation (CNCF) compliant security frameworks for Kubernetes operators
  • Teaching graduate Software Quality Assurance, mentoring students in Large Language Model (LLM) applications and federated learning architectures
  • Developing formal verification models using F* and Coq for Kubernetes operator dependency resolution algorithms
  • Conducting research on software supply chain security, vulnerability detection, and distributed Machine Learning (ML) model deployment strategies
  • Implementing federated learning pipelines for privacy-preserving AI model training across distributed edge environments
  • Designing Model Context Protocol (MCP) agentic frameworks for secure Large Language Model (LLM) interactions in distributed research environments
Mar 2022—Jul 2024

Senior Technology Solution & Cloud Architect (L3/IC3)

Oracle SAGE ASEAN | Singapore

  • Architected fault-tolerant Live Streaming OTT Platform using Kubernetes with Ampere instances, supporting 10M+ concurrent users with 99.9% uptime for South Asian Cricket Board
  • Designed enterprise-scale microservices migration strategy for world's largest NGO (50+ countries) from AWS to OCI, implementing blue-green deployment with zero downtime
  • Built CloudNative modernization framework for National Portal (30,000 websites) integrating JSON Duality Views, ORDS RESTful APIs, and Oracle Autonomous Database with X-Road-inspired interoperability
  • Implemented e-Government architecture following Estonia's X-Road model: secure data exchange layer, federated identity management, and API gateway for seamless citizen services integration
  • Developed Oracle Serverless Functions with Go and Python for real-time event processing, integrating with Apache Kafka for distributed streaming architectures
  • Created comprehensive Infrastructure as Code (IaC) solutions using OCI Terraform SDK, automating deployment pipelines with 95% reduction in manual intervention
  • Designed national digital identity registry system with NID, birth/death certificates, driving licenses integration using blockchain-based verification and smart contracts
  • Built advanced monitoring and observability stack using Prometheus, Grafana, and OCI Cloud Guard for proactive threat detection and performance optimization
  • Deployed ML models on HuggingFace infrastructure for government AI services, implementing federated learning for privacy-preserving citizen data analytics
  • Architected high-performance Minecraft server clusters for educational simulation environments and multi-player collaborative platforms
Jun 2021—Mar 2022

Principal System Analyst (L4)

bKash (co-owned by Alipay) | BD

  • Led R&D resolving "Transaction State" throttling for 600K/min transaction capacity
  • Modernized architecture combating CVE-2021-44228 (log4j) with RUST solutions
  • Designed PCI-DSS compliant AWS deployment for VISA/MasterCard/AMEX payment systems
  • Implemented optimal memory management with atomic transaction state handling
Aug 2019—May 2021

Lead DevOps Engineer & CloudNative Developer

HWW BD/USA | BD

  • Resolved caching latency in Magento eCommerce (10M products, 1000+ TPS)
  • Implemented microservices with Kubernetes, ISTIO service mesh, ArgoCD GitOps across Azure and AWS multi-cloud environments
  • Designed multi-region architecture for European GDPR compliance automation with Azure DevSecOps pipeline integration
  • Created intelligent Redis Sentinel caching with master-slave architecture and deployed custom Minecraft server infrastructure for client gaming platforms
Feb 2015—Mar 2020

Assistant Professor

Bangladesh Army Int. University | BD

  • Taught Software Engineering, Machine Learning, Cybersecurity to 500+ students
  • Supervised 15+ thesis projects on microservices, cloud security, distributed systems
  • Developed curriculum for Software Quality Assurance and Network Security courses
  • Mentored students in ACM-ICPC contests and research publications
Jan 2014—Jan 2015

Lecturer

Military Institute of Science & Technology (MIST) | BD

  • Taught graduate courses in Algorithms, Compiler Design, Operating Systems, Computer Networks
  • Supervised 6+ thesis projects in machine learning and cybersecurity domains
  • Developed hands-on labs for Computer Graphics and Security courses
  • Mentored students in competitive programming and research methodologies
Mar 2011—Jan 2014

Software Engineer (Senior Researcher)

HTRC BD & HTRC UK | BD

  • Developed financial data analysis and prediction models using ML algorithms (KNN, K-means, Regression)
  • Implemented Java-based software solutions using modular programming and Spring Boot frameworks
  • Created REST APIs and integrated Elastic stack with in-memory caching for cloud solutions
  • Served NASDAQ, S&P, Dow Jones customers with algorithmic trading insights

Key Architecture Designed

AI Agent Orchestration
Enhanced AutoGen RAG System: Dynamic agent creation with 5 collaboration patterns (sequential, parallel, hierarchical, consensus, specialist_review), dual database integration (PostgreSQL + MySQL), hardware acceleration (GPU/MPS/CPU), multi-level caching with Redis
AI-Powered Upselling
Complete suite from CLI to enterprise web application: 5 hybrid ML algorithms (FP-Growth, Matrix Factorization, Neural CF, PageRank Networks), real-time processing (<50ms), A/B testing framework, analytics dashboard, REST API with BI metrics
Real-time AI Assistant
Enhanced AI Podcast Assistant: real-time transcription via OpenAI Whisper, speaker diarization with Pyannote (8 speakers), contextual question generation, fact-checking with Wikipedia, Slack integration, Apple Silicon M3 MPS optimization
GenAI Infrastructure
8-template LLM deployment playground: SageMaker pipelines, EKS Kubernetes, AWS Batch HPC, EMR Spark, Fargate Serverless, ParallelCluster, Hybrid Multi-Cloud, Edge Federated Learning with real-time metrics and cost breakdowns
Payment Systems
PCI-DSS compliant payment gateway for bKash: VISA/MasterCard/AMEX integration, multi-phase transaction validation, secure data flow with wallet platform
Cloud Infrastructure
Multi-region fault-tolerant OCI architecture: Kubernetes clusters, cache eviction policies, horizontal pod autoscaling, MySQL HA cluster with observability stack
Live Streaming Infrastructure
High-concurrency OTT platform: Kubernetes with Ampere instances, CDN integration, real-time analytics with Apache Kafka streaming for 10M+ users
Enterprise Solutions
CloudNative modernization framework for National Portal (30,000 websites): JSON Duality Views, ORDS RESTful APIs, Oracle Autonomous Database, serverless functions, blockchain identity verification, IaC deployment with X-Road interoperability
Digital Banking/MFS
Secure Digital Banking/MFS Cloud Native Model for bKash: studying Monzo, NuBank, Revolut, Chime, Ally Bank, Starling Bank, N26 architectures to develop distributed architecture with enhanced security and scalability
E-Government
X-Road compliant digital government architecture: citizen portal, information mediator, federated identity registry, blockchain document verification, departmental solutions (Estonia model) for national-scale transformation

E-Government & Digital Infrastructure Expertise

Interoperability
X-Road architecture implementation, federated identity management, secure data exchange protocols
Digital Identity
National ID systems, blockchain verification, smart contracts, biometric authentication integration
Citizen Services
One-stop digital portals, eKYC, payment gateways, workflow automation, multi-channel service delivery
Government Tech
Policy management systems, regulatory compliance automation, cross-border data exchange, digital sovereignty

Current Research & Development (2024-Present)

CNCF/NSF

Kubernetes Operator Security Framework

Auburn University | Lead Researcher & Developer

  • Developed production Kubernetes (K8s) operator dependency analysis tool published on TestPyPI (operatorhub-scraper)
  • Created enhanced visualization for dependency graphs with cycle detection and vulnerability propagation
  • Investigating advanced dependency resolution algorithms for NP-complete challenges in operator security
  • Conducting formal analysis of operator control plane architectures and dependency propagation patterns
Software Engineering

Advanced Dependency Analysis & Formal Methods

Personal Research | Principal Investigator

  • Implemented F*/SMT solvers for NP-complete dependency resolution with automated security assessment in distributed systems
  • Designed Java Abstract Syntax Tree (AST) dependency parser for software engineering research and circular dependency detection
  • Created formal verification models using F* and Coq for microservice architecture reliability analysis
  • Developed polynomial-time algorithms for software supply chain vulnerability propagation modeling
Conference

Technical Research & Industry Impact

Academic & Professional | Program Committee Member

  • Selected as Program Committee member for EASE 2025 (International Conference on Evaluation and Assessment in Software Engineering) - Emerging Results track
  • Conducted 100+ technical workshops globally on Kubernetes, ServerlessOps, and Cloud Security for Oracle, DevSecOps communities
  • Published research on Kubernetes operator dependency vulnerability propagation (ICSE 2025 preparation)
  • Created SkyDic App architecture showcasing Express.js, middleware design, and async file handling with production-ready scalability patterns
AI/ML Research

GenAI & Computer Vision Solutions

Personal Research | Principal Investigator

  • Developed Deep Convolutional Generative Adversarial Network (DCGAN) for Computer Vision with PyPI deployment
  • Created Retrieval Augmented Generation (RAG) based agentic solutions: podcast buddy, AI-powered upselling systems
  • Collaborated with Electric Power Research Institute (EPRI) USA on Distribution Grid Modeler AI assistance architectures
  • Maintained log4j vulnerability simulator and algorithm visualizers (Bellman-Ford, Prim's Minimum Spanning Tree)
Production Tools

Critical Infrastructure Security Research

Independent Research | Security Researcher

  • Conducted forensic analysis of major service outages: Claude AI (May 2025), Spotify Envoy filter misconfiguration, identifying cascading failure patterns and architectural vulnerabilities
  • Developed GitHub Repository Analyzer with technical debt detection, code quality metrics, and team dynamics analysis - serving engineering managers and DevOps teams globally
  • Created Universal Database Explorer with local AI inference (DeepSeek Coder V2 + LLaMA 3) for schema-aware SQL generation without API dependencies
  • Built 8-template GenAI LLM deployment architecture playground: EKS Kubernetes, AWS Batch HPC, EMR Spark, Fargate Serverless, and Hybrid Multi-Cloud setups with real-time metrics
Algorithm Visualization

Interactive Learning Platforms

Open Source Contribution | Principal Developer

  • Developed interactive algorithm simulators: Bellman-Ford shortest path, Prim's MST, Dijkstra visualization, and CPU scheduling algorithms with real-time step-by-step analysis
  • Created advanced TypeScript debugging frameworks addressing runtime type safety vs compile-time guarantees in distributed systems
  • Built enhanced Bandit vulnerability analysis extension for Python repositories with advanced reporting capabilities
  • Designed IaC security automation with Kyverno policy-as-code, OPA Rego expressions, and GitOps integration for compliance validation
Academic Review

Kubernetes Security Architecture Analysis

Independent Research | Technical Reviewer

  • Conducted comprehensive technical review of KubeKeeper (EuroS&P 2025) Kubernetes secrets management architecture, identifying critical scalability and production readiness limitations
  • Identified catastrophic scalability bottleneck: BoltDB single-write database design creates massive performance degradation during high-scale deployments (scaling 1K to 1M pods), transforming minutes-long operations into hours-long processes
  • Analyzed production-killing operational overhead: 3 webhook validations + deployment mutations increase pod startup time from 2-5s to 30-60s, making ultra-high-scale scenarios (Netflix surge traffic, IPL cricket finals 100X viewer spikes) operationally unfeasible
  • Discovered fundamental Single Point of Failure (SPOF): BoltDB file-based key storage with no concurrent writing support, file-level locking allowing only one webhook pod access, and catastrophic key loss when nodes fail
  • Highlighted missing critical security feature: complete absence of key rotation mechanisms in file-based storage system, creating permanent security vulnerability and operational dead-end scenarios
  • Identified zero-trust implementation contradictions: architecture claims zero-trust while implementing single database dependency, no distributed trust verification, and lack of graceful degradation mechanisms
  • Proposed production-ready architectural improvements: distributed key architecture with Key Management Service (KMS) integration, High Availability (HA) webhook load balancing, in-memory caching with pre-warming strategies, and shared persistent volume concepts
  • Demonstrated enterprise-scale Kubernetes security expertise based on Oracle, bKash (600K/min transactions), and OTT platform production deployments requiring immediate 1000X scaling capabilities

Notable Bug Discoveries & Security Research

Sep 2021

Critical Oracle Cloud Console Vulnerability

Oracle Compute Team | Security Researcher

Discovered unexpected server shutdown vulnerability in OCI Compute instances without notification triggers. Critical impact: potential data loss and service disruption across enterprise workloads. Led to career opportunity as Sr. Solution Architect and system-wide security improvements in Oracle Cloud Console.
Jan 2022

Oracle MySQL PaaS Design Flaw

Oracle MySQL Team Singapore | Security Researcher

Identified storage lock vulnerability in MySQL High Availability (HA) PaaS affecting Online Transaction Processing (OLTP) transactions under high concurrency. Proposed real-time autoscaling solution with intelligent load balancing adopted by Oracle MySQL cloud services, improving transaction throughput by 40%.
May 2025

Claude AI Service Outage Analysis

Independent Security Research | Forensic Analyst

Conducted comprehensive forensic analysis of Claude AI global service outage, identifying cascading failure patterns in distributed AI infrastructure. Published detailed technical analysis highlighting architectural vulnerabilities in Large Language Model (LLM) serving systems and proposed resilience improvements.
2024-2025

Spotify Envoy Filter Misconfiguration

Independent Security Research | Infrastructure Analyst

Analyzed Spotify's Envoy proxy filter misconfiguration leading to service degradation. Identified configuration drift patterns in microservices mesh architectures and developed automated detection mechanisms for similar infrastructure vulnerabilities.
2021-2024

Log4j Vulnerability Research & Education

Open Source Security Research | Lead Security Researcher

Created comprehensive Log4j vulnerability simulator (CVE-2021-44228) for educational purposes. Developed multiple exploitation scenarios and mitigation strategies, serving cybersecurity education community with practical hands-on learning tools. Repository gained significant traction in security research community.
2022-Present

Kubernetes Operator Supply Chain Security

CNCF/NSF Funded Research | Principal Investigator

Discovered critical dependency vulnerability propagation patterns in Kubernetes operator ecosystems. Developed automated security assessment framework (operatorhub-scraper) identifying previously unknown supply chain risks. Research findings contributing to CNCF security best practices and operator certification standards.

Research Publications & Impact

2025 (In Preparation)
Arafat, J.; et al. "Dependency Vulnerability Propagation in Kubernetes Operator Supply Chain: A CNCF-Compliant Security Framework" ICSE 2027 (In Preparation)
2025 (arXiv)
Arafat, J.; et al. "Enhanced Deep Convolutional Generative Adversarial Network (GAN) for Computer Vision: A Community-Deployable PyPI Framework" arXiv 2027 (In Preparation)
2024
Arafat, J.; Shazibul Islam Shamim, Hanyang Hu, Arpan Srivastava, Muhammad Ali Babar, Akond Rahman. "A Vision of Seamless Quality Assurance for Kubernetes-based Container Orchestration" ACM TOSEM - Transactions on Software Engineering and Methodology, 2024, 33.7 (accepted)
2019
Arafat, J.; Chowdury, Md Abdul Malek; Bidhu, Mysha Nishat; Faruqui, Tazkia Binty. "A Unified Identity Management Service Structure Based on LDAP and Kerberos for Organization with .bd Domain" IOSR Journal of Computer Engineering, 2019, 21(2):59-70
2019
Arafat, J.; Chowdury, Md Abdul Malek; Faruque, Tazkia Binty. "A Light Weight Cryptography (LWC) for Small Scale Data in IoT Devices" International Journal of Computer Applications, 182(49):29-35
2013
Arafat, J.; Habib, M. A.; Hossain, R. "Analyzing public emotion and predicting stock market using social media" American Journal of Engineering Research, 2013, v2(9), p265-275
2013
Arafat, J.; Halimu, C.; Habib, M. A.; Hossain, R. "Emotion detection and event prediction system" Global Journal of Computer Science and Technology Network, Web & Security, 2013, v13 p13
2013
Arafat, J.; Habib, M. A. "Recapitulating the development initiatives of a robust information security safeguard: RITSB-the proposed solution" IOSR Journal of Computer Engineering, Volume 15, Issue 2, p30-34
2013
Arafat, J.; Habib, M. A.; Clement, C. K. "Situated Cognition & Culture of Learning to Re-Conceptualize the Teaching-Learning Paradigm in the Field of Engineering and Technology in Bangladesh" IOSR Journal of Research & Method in Education, 2013, v3, p20-27
2012-2013
Arafat, J.; Halimu, C. "Emergence of Robust Information Security Management Structure around the world wide Islamic Institutions: A Multifaceted Security Solution" International Journal of Strengthening the Role of ICT in Development, 2011, p393
2012
Arafat, J.; Daiyan, G. M.; Waliullah, M. "Emergence of Robust Information Security Management Structure around the world wide Higher Education Institutions: a Multifaceted Security Solution" International Journal of Computer Science Issues (IJCSI), 9(4), 206
2012
Waliullah, M.; Arafat, J.; Daiyan, G. M. "Information Technology Security, Strategies and Practices in Higher Education: A Literature Review" Journal of Computing Press, 2012, p138-144
2008-2009
Faruquzzaman, A. B. M.; Paiker, N. R.; Arafat, J.; Karim, Z.; Ali, M. A. "Object segmentation based on split and merge algorithm" IEEE TENCON 2008 Region 10 Conference; Faruquzzaman, A. B. M.; Paiker, N. R.; Arafat, J.; Ali, M. A. "Robust object segmentation using split-and-merge" International Journal of Signal and Imaging Systems Engineering, 2009, 2(1), 70
2008
Faruquzzaman, A. B. M.; Paiker, N. R.; Arafat, J.; Ali, M. A.; Sorwar, G. "Literature on image segmentation based on split-and-merge techniques" Proceedings of 5th International Conference on Information Technology and Applications, ICITA 2008, p120-125
2008
Faruquzzaman, A. B. M.; Paiker, N. R.; Arafat, J.; Ali, M. A. "A survey report on image segmentation based on split and merge algorithm" IETECH Journal of Advanced Computations, 2(2), 86-101
Research Impact
NSF-funded CNCF K8s operator security framework (TestPyPI: operatorhub-scraper), Enhanced DCGAN PyPI package deployed globally, 500+ GitHub stars across 20+ repositories, Program Committee Member EASE 2025 (Emerging Results track), production-ready tools serving enterprise and research communities worldwide, 15+ peer-reviewed publications spanning computer vision, cybersecurity, social media analytics, and cloud-native systems

Top Git Repositories & Open Source Contributions

Research Tools
Java AST Dependency Parser (NSF funded PhD collaboration)

Certifications & Recognition

Cloud Architecture
AWS Solutions Architect Professional (97% - 2nd globally), Oracle Cloud Architect Professional (93.3%), Oracle Cloud Infrastructure Architect Associate, Oracle Cloud Operations Associate, Oracle Developer Associate
Security & Compliance
ISC2 Certified in Cybersecurity (CC), EC-Council CEH v11, IBM Cybersecurity Analyst Professional, SISA PCI-DSS Implementer (CPISI - 86%), Cisco Network Academy Cybersecurity Pathway, Fortinet NSE 1, Oracle Cloud Security Associate
Cloud Specializations
Oracle Autonomous Database Specialist, Oracle Machine Learning Specialist, Oracle Database Migration Specialist, Oracle Application Integration Specialist, AWS Block Storage Specialized, Alibaba Cloud DevOps/ML/Computing Specialty
Development & DevOps
Next.js Full-Stack Development (LinkedIn 2025), Node.js Web Servers & Deployment (LinkedIn 2024), Java Spring Boot Microservices, Advanced Java Programming, Functional Programming with Java, Kubernetes Challenges (KodeKloud), GitOps Foundation (Linux Foundation)
Enterprise & Management
Harvard ManageMentor Coaching Certification, IBM Enterprise Design Thinking (Practitioner & Co-Creator), Agile with Atlassian Jira, Scrum Foundation Professional (SFPC), ISO/IEC 27001 Information Security Associate, ISO/IEC 20000 IT Service Management
DevSecOps & Infrastructure
Chef Principles Certification, RedHat RHCSA, CSI Linux Bash/Python Scripting, OPSWAT Security Associate (Email, Endpoint, Network, Web-Traffic), Adobe Certified Magento Commerce Developer
Current Studies (2025)
Azure Solutions Architect Expert (AZ-305) - In Progress, HuggingFace AI Courses: LLM Course, Model Context Protocol (MCP), AI Agents, Deep Reinforcement Learning, Computer Vision, Audio Transformers, Diffusion Models, ML for Games, ML for 3D
Professional Rankings
TryHackMe Top 4% Global Cybersecurity, HackerRank Python Algorithms (2296.4/2300), AWS SA Professional 2nd Highest Score Worldwide (97%)
Awards & Fellowships
NSF Presidential Graduate Research Fellowship (Top Distinction), Woltosz Graduate Research Fellowship, Oracle Executive Recognition for Critical Security Research