Senior Software Engineer – Machine Learning & AI
🔭 I’m currently building cutting‑edge AI agents and RAG systems
🌱 Actively exploring distributed knowledge graphs & generative models
💬 Topics I enjoy exploring:
- 🧠 Agentic AI & Generative Systems
- 🛠️ LLM Pipelines (LangChain, RAG)
- 🔄 Scalable ML Workflows
- 🌐 Knowledge Graphs (Neo4j)
- 🤖 Multi-agent Reasoning
🔗 Connect with me on LinkedIn
Hybrid Retrieval‑Augmented Generation + Knowledge Graph agent.
🚧 2★ star, 1 fork • Core tech: Python, PostgreSQL + pgvector, Neo4j, FastAPI
Curated full‑stack ML & AI course materials—bootcamps, deep learning, NLP, EDA.
50+ notebooks & projects • Forked 1★
Streamlined AUTOMATIC1111 + DreamBooth integration for faster image generation.
1★ • MIT‑licensed
In‑depth LLM agent creation tutorials using Google’s Agent Development Kit.
31 modules, step‑by‑step guides, demos
- LLM‑LangChain‑Tutorials – Jupyter‑based tutorials on LLM agent flows using Python & LangChain.
- RAG‑Papers – In‑depth summaries and notes on RAG research.
- Artificial‑Whiteboard – AI‑powered collaborative whiteboard built with HTML/JS.
- deepwhisperer – Python package for async Telegram messaging—ideal for bot development.
- IntelliForge‑Applied‑GenAI‑Playbook – Practical code‑first GenAI playbook/framework.
- Machine‑Learning‑and‑Artificial‑Intelligence‑Hub – Centralized ML/AI learning resources & projects.
- LightPROF – Lightweight, modular reasoning framework enabling multi-hop KG-based reasoning with LLMs using a “Retrieve → Embed → Reason” pipeline. Supports both open-source and commercial LLMs without fine-tuning the model ([linkedin.com][1]).
- FastADK – Super‑efficient alternative to Google ADK agent frameworks, optimized for speed and modular deployments.
- CogniBench – A legal‑inspired benchmark and dataset for evaluating LLM cognitive faithfulness. Designed for assessing reasoning integrity in AI systems ([paperswithcode.com][2]).
| Area | Technologies |
|---|---|
| Languages | Python, SQL, JavaScript |
| ML/AI | TensorFlow, PyTorch, Hugging Face, LangChain |
| Agents & RAG | PostgreSQL + pgvector, Neo4j, FastAPI |
| Tools | Docker, Kubernetes, GitHub Actions |
| Cloud & DB | AWS, GCP, Neo4j Aura, S3 |
- MSc in Machine Learning & Artificial Intelligence — UpGrad / IIT Madras & LJMU
- Deep Learning Specialization — DeepLearning.AI
- TensorFlow Developer Certificate — Zero to Mastery
- 📧 [email protected]
- 💡 Open to speaking, mentoring, or collaborating on AI projects
- Building scalable agents with Neo4j + RAG pipelines
- Publishing open‑source tutorials on Generative AI
- Mentoring emerging engineers in AI/ML fields
"Building tomorrow's AI, today."