AI/ML Engineer specializing in multi-agent AI systems, computer vision, and full-stack AI applications. I turn research papers into production-grade systems. My thesis achieved 0.92 AUC on unsupervised anomaly detection and 99% classification accuracy, and I've built agent pipelines with up to 12 autonomous agents collaborating to ship real code.
Currently starting my M.S. in Computer Science at Beijing Institute of Technology on a Chinese Government Scholarship, after completing a B.Sc. in Software Engineering at Zhengzhou University. Open to remote engineering roles.
| 🔬 | Research Focus | Multi-Agent Orchestration · Anomaly Detection · Computer Vision |
| 🏆 | Latest Win | National First Prize | 16th College Student Market Survey Competition, China |
| 📄 | Publications | 2 published papers in North American Academic Research |
| 🌍 | Languages | English · Bangla · Mandarin (HSK 3) · Hindi/Urdu |
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Multi-Agent Research Reproduction Engine Converts academic papers into reproducible code repositories with traceable methodology-to-code mapping. Multi-agent LangGraph workflow handles paper analysis → code generation → validation → repair loops → documentation.
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Undergraduate Thesis · Computer Vision Five unsupervised models (CAE, VAE, DAE, Skip-CAE, PatchCore) + supervised CNN across MVTec AD, KolektorSDD2 & NEU datasets. Real-time inference with spatial heat maps.
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4-Agent Async Research Pipeline Planner → Researcher → Critic → Writer pipeline with multi-provider web research, relevance scoring, REST/WebSocket live progress streaming, and SQLite caching for pipeline reliability.
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12-Agent Code Orchestration System Converts natural-language product descriptions into deployable full-stack applications. Agents handle requirements analysis → system design → code generation → QA review → Docker deployment.
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Deep Learning for Disaster Detection ResNet, Vision Transformer (ViT), and GRACE satellite data for wildfire, flood, and sea-level rise detection. Supports early warning system research.
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Research Paper Implementation & Validation Full reproduction of the HERMES research methodology with experimental analysis, benchmarking, and validation against the original paper's results.
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🔎 Expand full stack breakdown
| Domain | Technologies |
|---|---|
| AI / ML & CV | PyTorch · TensorFlow · scikit-learn · OpenCV · Hugging Face · CNN · Autoencoders · PatchCore |
| AI Agents & Automation | LangGraph · RAG · Multi-Agent Systems · Prompt Engineering · Workflow Automation |
| Full-Stack | React · Next.js · Node.js · FastAPI · Flask · Tailwind CSS · REST APIs |
| Data & Analytics | Pandas · NumPy · Power BI · Feature Engineering · KPI Dashboards |
| DevOps & Testing | Docker · GitHub Actions · pytest · Jest · Agile/Scrum |
2025 ━━ Data Analyst Intern · Henan Enmaipu IT Co. · Zhengzhou / Remote
SQL, Python, Power BI dashboards, ML collaboration on customer segmentation
2024 ━━ Full-Stack Developer Intern · Luday AB · Sweden / Remote
React, Next.js, 3 dashboard modules, 15+ production bugs resolved
2021 ━━ Full-Stack Developer · Flamingo Footwear Ltd. · Dhaka, Bangladesh
E-commerce platform, payment integration, 78% page load improvement
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M.S. Computer Science | Beijing Institute of Technology, China (2026–2028) Chinese Government Scholarship · Deep Learning · Computer Vision · Probabilistic ML |
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B.Sc. Software Engineering | Zhengzhou University, China (2022–2026) GPA 3.30/4.00 · Henan Provincial Govt Scholarship · Excellent Student Award 2024–25 |
| 🥇 | National First Prize (一等奖) | 16th College Student Market Survey & Analysis Competition (2026) |
| 📜 | Google Data Analytics Professional · IBM Deep Learning Fundamentals · Google Cybersecurity |
| 📄 | Hamim, M. (2025). The Role of Artificial Intelligence in Revolutionizing Construction Project Management. North American Academic Research. DOI |
| 📄 | Hamim, M. (2025). Software Requirement Elicitation Technique: Gamification using Decision Tech Method. North American Academic Research. DOI |
