I build production-ready AI systems that combine LLMs, RAG, reinforcement learning, advanced agentic architectures, automation to transform complex workflows into intelligent, scalable products. I have also built some MVP using agentic AI and open to share it with investors.

What I build: → AI Agents & complex multi-agent systems → Agentic AI architectures & autonomous workflows → RL-based LLM reasoning & reasoning optimization → RAG / knowledge assistants & enterprise search → LLM-powered applications → Document & data intelligence → AI automation & workflow orchestration → NLP & Generative AI solutions → AI-driven decision-making systems → Frontend and Backend using Nextjs, Reactjs and FastAPI

Core expertise: LLMs • RL for LLM Reasoning • Agentic AI • Multi-Agent Systems • RAG • Generative AI • NLP • Reinforcement Learning • Knowledge Graphs • Vector Search • AI Automation • AI Architecture

Tech stack: Python • PyTorch • LangGraph • LlamaIndex • OpenAI • AWS • Vector Databases • Docker • Kubernetes • React • TypeScript • fastAPI • Nextjs

I focus on the full AI lifecycle from problem formulation, AI architecture, and rapid prototyping to model development, agentic workflow design, deployment, evaluation, and production optimization.

My goal is to design AI systems that don't just generate content, but reason, retrieve knowledge and use tools for computations, coordinate agents, learn from feedback, and execute complex tasks autonomously with automatic validation and assessment.

I need more GPU and investments to develop more vertical AI products.