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Senior educator and practitioner in Artificial Intelligence, Data Science, and Applied Mathematics, currently teaching graduate and professional learners across industry-oriented programs. My teaching focuses on turning mathematically heavy ideas into clear, practical intuition that learners can immediately apply.
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Instructor and curriculum designer for topics including Machine Learning, Deep Learning, Generative AI, Reinforcement Learning, Time Series Analysis, and MLOps. I regularly create structured lesson plans, hands-on labs, and project-based learning experiences where students implement models, analyze real datasets, and deploy systems end-to-end.
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Research interests include learning from complex and high-dimensional data, interpretable modeling, and practical AI systems. I guide postgraduate student projects, evaluate research proposals, and help refine problem statements so that they contain novelty, measurable outcomes, and real-world relevance.
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Builder of educational and AI learning tools such as interactive mathematical whiteboards, visualization systems, and AI-assisted academic workflows. These tools help students visualize vectors, optimization, neural networks, and reinforcement learning rather than memorizing formulas.
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Strong interest in Reinforcement Learning, Generative AI, Agentic AI systems, and applied computer vision, with emphasis on connecting theory to deployment: data pipelines, experimentation, model tracking, and production-ready applications.
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My goal is to make advanced concepts approachable. Whether explaining linear algebra behind neural networks, debugging a model, or reviewing a research idea, I focus on clarity, intuition, and structured thinking rather than jargon.
Topological Data Analysis ██████████████████░░ 90%
Machine Learning & Deep Learning █████████████████░░░ 85%
Reinforcement Learning ████████████████░░░░ 80%
Generative AI & LLMs ███████████████░░░░░ 75%
Multi-Objective Optimization ██████████████░░░░░░ 70%
Context Engineering █████████████░░░░░░░ 65%
| # | Paper | Journal | IF |
|---|---|---|---|
| 1 | Comparison of NSGA-II, MOALO & MODA for Micro-Machining | Materials (2021) | 3.625 |
| 2 | Response Surface for Multi-Objective Optimization of Composites | Steel & Composite Structures (2019) | 3.89 |
| 3 | PSO-Tuned SVM Metamodels for Turbulent Flows | Engineering Computations (2020) | 1.246 |
| 4 | Persistent Homology for Big Data & Machine Intelligence | Springer AISC (2020) | -- |
| 5 | TDA Feature Extraction 🏆 Best Paper Award | ICIVC-2021, Oman | -- |
| Project | Category | Description |
|---|---|---|
| 🤖 Ask My AI Clone | AI/RAG | Chat with an AI trained on 15+ research papers — RAG + LangChain |
| 📡 AI Research Radar | Automation | Self-updating arXiv paper tracker — GitHub Actions every 6 hours |
| 🎬 Animated Proof Gallery | Math/Viz | Manim-powered proof animations — TDA, Fixed Point, SVM, Pareto |
| 🎓 PhD Survival Kit | Academia | Paper writing, LaTeX templates, reviewer responses, Best Paper story |
| 📚 Publications | Research | Complete portfolio — 15 papers, DOI links, BibTeX, collaboration map |
| 🧠 Context Engineering | AI/LLM | 34+ papers, 22+ videos, 27+ blogs, tools, techniques, roadmap |
| 🏥 AI Healthcare | AI Research | Imaging, surgery, oncology, EHR, agents, drug discovery |
| 🔧 n8n Workflows | Automation | 5,000+ workflows, 20 categories, 400+ integrations, JSONs |
| 🤖 Agentic AI | AI Research | 100+ agentic AI frameworks, papers, tools & resources |
| 📊 ML From Scratch | Education | 10 ML algorithms from scratch in Python with NumPy |
| 📐 Math for AI | Education | Linear algebra, calculus, probability, info theory for AI |
| 📈 Optimization Guide | Education | 9 optimizers (GD to Adam) with benchmarks & visuals |
| 📄 DS Cheatsheets | Reference | 11 cheatsheets for Python, SQL, ML, DL, Pandas |
| 💡 Prompts | AI Tools | 500+ curated AI prompts — Manim, video, image, coding |
| 🌎 Countrywise AI | AI Research | 30+ countries — rankings, investment, talent, policy |
| 🔭 AI Landscape | AI Research | Quantum computing, summits, tool releases, trends |
| 🔌 MCP Servers | AI Tools | 6 MCP servers for Claude — Manim, ML, Data Science |
| 🛠️ AI Tools | Reference | Video, audio, PPT tools, YouTube channels, FAANG blogs |
| 🎮 RL Labs | Education | Interactive Reinforcement Learning labs in browser |
| 💎 TopoVista | Research | Topological Data Analysis application |
"From pure mathematics to applied AI — bridging theory and impact."


