Crafting intelligent systems that bridge the gap between cutting-edge research and real-world impact
🤖 AI Agents & LLMs - RAG systems, multi-agent workflows, and conversational AI
👁️ Computer Vision - Real-time object detection, face recognition, and visual automation
⚡ MLOps & Deployment - Production-ready ML pipelines and scalable AI infrastructure
🔗 AI Integration - Connecting AI capabilities with existing systems via FastAPI & REST
- AI/ML: LangChain, Hugging Face, YOLO, LLaMA, RAG, Vector DBs, Ollama
- Cloud: Azure, GCP, Docker, Nginx Load Balancing
- Backend: FastAPI, Flask, REST APIs, Linux Systems
Multi-agent system with memory, tool usage, and autonomous task execution
Real-time computer vision pipeline: Face recognition + Object tracking + Anomaly detection
Production-ready RAG system with custom embeddings and multi-modal support
Automated visual regression testing using OpenCV - 40% reduction in manual QA
- 🏅 Innovative Visionary Award - NSPLUS Technologies (2024)
- 🤝 Collaboration Excellence - Team leadership & knowledge transfer
- ⚡ 40% Manual Effort Reduction - Through AI automation solutions
- 🧩 Multi-Agent Systems with memory and tools, A2A, ADK, MCP, Langchain, Langgraph, LangSmith etc.,
- 🧠 LLMOps and Retrieval-Augmented Generation, Multi Agentic System with Short term and Long term memory use cases,
- 🛰 Edge deployment of CV models, ML models deployment for audio & signal processing for IOT use cases.