Crafting intelligent systems that bridge the gap between cutting-edge research and real-world impact
π€ AI Agents & LLMs - RAG systems, multi-agent workflows, and conversational AI
ποΈ Computer Vision - Real-time object detection, face recognition, and visual automation
β‘ MLOps & Deployment - Production-ready ML pipelines and scalable AI infrastructure
π 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
ποΈ Smart Vision Suite
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
- π Innovative Visionary Award - NSPLUS Technologies (2024)
- π€ Collaboration Excellence - Team leadership & knowledge transfer
- οΏ½οΏ½οΏ½ 40% Manual Effort Reduction - Through AI automation solutions
- 𧩠Multi-Agent Systems with memory and tools, A2A, ADK, MCP, Langchain, Langgraph, LangSmith etc.,
- π§ LLMOps and Retrieval-Augmented Generation, Multi Agentic System with Short term and Long term memory use cases,
- π° Edge deployment of CV models, ML models deployment for audio & signal processing for IOT use cases.