Senior Software Engineer ā Machine Learning & AI
š Iām currently building cuttingāedge AI agents and RAG systems
š± Actively exploring distributed knowledge graphs & generative models
š¬ Topics I enjoy exploring:
- š§ Agentic AI & Generative Systems
- š ļø LLM Pipelines (LangChain, RAG)
- š Scalable ML Workflows
- š Knowledge Graphs (Neo4j)
- š¤ Multi-agent Reasoning
š Connect with me on LinkedIn
Hybrid RetrievalāAugmented Generation + Knowledge Graph agent.
š§ 2ā
star, 1 fork ⢠Core tech: Python, PostgreSQL +āÆpgvector, Neo4j, FastAPI
Curated fullāstack ML & AI course materialsābootcamps, deep learning, NLP, EDA.
50+ notebooks & projects ⢠Forked 1ā
Streamlined AUTOMATIC1111 + DreamBooth integration for faster image generation.
1ā
⢠MITālicensed
Inādepth LLM agent creation tutorials using Googleās Agent Development Kit.
31 modules, stepābyāstep guides, demos
- LLMāLangChaināTutorials ā Jupyterābased tutorials on LLM agent flows using Python & LangChain.
- RAGāPapers ā Inādepth summaries and notes on RAG research.
- ArtificialāWhiteboard ā AIāpowered collaborative whiteboard built with HTML/JS.
- deepwhisperer ā Python package for async Telegram messagingāideal for bot development.
- IntelliForgeāAppliedāGenAIāPlaybook ā Practical codeāfirst GenAI playbook/framework.
- MachineāLearningāandāArtificialāIntelligenceāHub ā Centralized ML/AI learning resources & projects.
- LightPROF ā Lightweight, modular reasoning framework enabling multi-hop KG-based reasoning with LLMs using a āRetrieve ā Embed ā Reasonā pipeline. Supports both open-source and commercial LLMs without fine-tuning the model ([linkedin.com][1]).
- FastADK ā Superāefficient alternative to Google ADK agent frameworks, optimized for speed and modular deployments.
- CogniBench ā A legalāinspired 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 ā UpGrad / IITāÆMadras & LJMU
- Deep Learning Specialization ā DeepLearning.AI
- TensorFlow Developer Certificate ā Zero to Mastery
- š LinkedIn
- š§ [email protected]
- š” Open to speaking, mentoring, or collaborating on AI projects
- Building scalable agents with Neo4j + RAG pipelines
- Publishing openāsource tutorials on Generative AI
- Mentoring emerging engineers in AI/ML fields
"Building tomorrow's AI, today."