I'm an AI Engineer and Applied Researcher specializing in Large Language Models (LLMs), Agentic AI Systems, Retrieval-Augmented Generation (RAG), and Text-to-SQL solutions.
My work focuses on designing, fine-tuning, aligning, evaluating, and deploying production-grade AI systems. I build enterprise AI applications ranging from Agentic RAG platforms and knowledge assistants to natural-language interfaces for structured data.
My interests include LLM post-training, reasoning systems, retrieval architectures, AI evaluation frameworks, and scalable infrastructure for deploying foundation models in real-world environments.
- 🔥 LLM Fine-Tuning & Alignment
- 🤖 Agentic AI & Multi-Agent Systems
- 🔎 Production RAG Architectures
- 🗄️ Text-to-SQL Systems
- 📊 LLM Evaluation & Benchmarking
- 🚀 AI Infrastructure & Deployment
- Production-grade Agentic RAG systems
- Enterprise Text-to-SQL platforms
- LLM alignment and post-training pipelines
- Evaluation frameworks for LLM applications
- Synthetic data generation workflows
- Reasoning Models
- Foundation Models
- Retrieval Systems
- Multimodal AI
- Bioinformatics & Scientific AI
| Project | Description |
|---|---|
| Agentic RAG Platform | Multi-step retrieval, reasoning, and tool-use framework for enterprise knowledge systems |
| Enterprise Text-to-SQL | Natural language interface for structured databases with evaluation and benchmarking pipelines |
| LLM Alignment Pipeline | Fine-tuning, instruction tuning, preference optimization, and post-training workflows |
| Knowledge Assistant | Citation-grounded AI assistant powered by hybrid retrieval and enterprise knowledge bases |
📚 Over 100 technical articles covering AI, Machine Learning, Deep Learning, Mathematics, LLMs, Agentic AI, and Software Engineering.
| Series | Articles |
|---|---|
| Machine Learning Series | 50+ |
| Probability & Statistics | 28+ |
| Python for AI | 9+ |
| Linear Algebra for AI | 8+ |
| LLMs and Agents in Production | Ongoing |
- 🧠 LLMs and Agents in Production: Day 8 — Mastering Ollama: Models, Commands, and API Integration
- 🧠 LLMs and Agents in Production: Day 9 — Attention Mechanisms & Capacity Trade-offs
| Platform | Description |
|---|---|
| Medium | 100+ technical articles on AI, Machine Learning, and LLMs |
| Google Scholar | Research publications in AI, Bioinformatics, and Deep Learning |
| AI Engineering, LLM systems, and industry updates |
PyTorch • Transformers • PEFT • TRL • Hugging Face • vLLM
LangGraph • LangChain • LlamaIndex • MCP
Qdrant • FAISS • Hybrid Search • BM25
FastAPI • Docker • PostgreSQL • Linux • Redis
Weights & Biases • MLflow