Rajesh M.

Background

About Rajesh M.

Experienced Technical Architect with 18+ years of IT experience specializing in Generative AI (GenAI), Agentic AI, and SaaS architecture. My expertise includes designing and implementing advanced AI solutions using frameworks such as LangChain, AutoGen, LangGraph, CrewAI, and MCP (Model Context Protocol). I have hands-on experience with Agentic Retrieval-Augmented Generation (Agentic RAG) implementations using LlamaIndex and llamaParser, integrated seamlessly with vector databases like PineCone, pgVector, Chroma, and FAISS. I'm proficient with open-source LLMs (CodeLlama, Mistral AI, DeepSeek R1) using ollama and commercial models including OpenAI, Anthropic Claude, and Google's Gemini. My experience extends to Azure AI Foundry for custom AI model development tailored for enterprise applications. Additionally, I'm a certified AWS Associate Architect skilled in designing scalable cloud solutions using AWS and Azure. I have a strong background in microservices architectures, event-driven systems with Kafka, and SaaS application development using Python, Django, Celery, Redis, ELK Stack, PostgreSQL, Docker, Docker Compose, and Unix/Linux platforms. I have hands-on experience implementing Supabase for secure, offline-capable applications. I hold a master's degree in computer science from Pune University and am passionate about driving innovation through GenAI and cloud technology. With prior experience as a Project Coordinator managing client engagements in the USA and Canada, I blend technical leadership with strategic execution. Additionally, I'm proficient in managing software delivery using Scaled Agile methodologies, ensuring rapid, efficient, and collaborative project execution.