I design and deploy autonomous AI agents that handle complex, multi-step business workflows using large language models. From intelligent document processing and conversational AI to decision-making agents that interact with APIs, databases, and external tools, I build production-grade AI systems that deliver measurable ROI, not just impressive demos.
As the founder of OhmFrame AI, a live SaaS platform delivering autonomous engineering agents, I bring real-world deployment experience to every project. I work with OpenAI, Anthropic, and open-source LLMs, integrating them into custom agent frameworks with proper context management, tool calling, memory systems, and guardrails to ensure reliable, safe outputs in production environments.
My approach focuses on practical AI that solves real business problems. I handle the full lifecycle: requirements analysis, prompt engineering, agent architecture design, API development, testing, deployment, and monitoring. Whether you need a RAG-powered knowledge assistant, an automated research agent, or a multi-agent system that coordinates complex workflows, I deliver solutions that work reliably at scale.