Engineering AI that thinks, collaborates, and delivers at scale.
I’m an AI Engineer passionate about transforming cutting-edge research into production-grade AI ecosystems.
From ML & DL foundations to GenAI-powered multi-agent orchestration, I design and deploy intelligent systems that scale with real-world impact.
💡 Specialty: Turning raw data into deployed AI products — combining classical AI depth with Generative AI innovation.
AI-powered architectural consultancy platform rooted in Vaasthu Shastra principles.
- Uses RAG architecture with Qdrant Vector DB
- Delivers instant, accurate answers to Vaasthu-related queries
- Built for scalability and real-world usability
Tech: LangChain • Groq • Qdrant • Bolt ai for website
- Multi-Agent Orchestration (CrewAI, LangGraph, role-based agents)
- RAG with hybrid retrieval, contextual memory, structured outputs
- LLM Application Engineering: prompt orchestration, tool calling, output parsing
- Vector Databases: Qdrant, ChromaDB, FAISS
- Regression, Classification, Clustering
- ANN, CNN, RNN, LSTM
- Transformers & Attention Mechanisms
- Text Classification, NER, Sentiment Analysis
- Transformer Models: BERT, GPT, T5
- Tokenization, embeddings, sequence modeling
| Project | Description | Tech Stack |
|---|---|---|
| Vaasthu Vision AI | AI-based architectural Vaasthu consultant | LangChain, Groq, Qdrant, Shapely, Streamlit |
| AI Automotive Consultant | Multi-agent AI system for automotive consultancy | CrewAI, LangGraph, Groq, VectorDB, Streamlit, FastAPI |
| AI Travel & Safety Companion (Open Source) | AI-powered safe travel planner using hazard datasets & OSRM | OpenStreetMap, OSRM, Open-Meteo, LangChain |
✔ End-to-End AI Product Builder – From pipelines to fully deployed platforms
✔ Architect of Agent Workflows – Designing AI ecosystems that talk, collaborate & act
✔ ML/DL/NLP Breadth + GenAI Depth – Bridging classical AI with cutting-edge LLMs
✔ Real-World AI Impact – Delivering domain-specific intelligence systems
- Scaling multi-agent AI systems for enterprise automation
- Building agentic RAG frameworks with persistent memory
- Enhancing AI observability with LangSmith & telemetry pipelines
“Building AI that doesn’t just answer — it understands, collaborates, and creates.”