Ashik Mohan

At Infosys, I build agentic AI, RAG, and intelligent document processing systems for enterprise workflows. My multi-agent RAG system using LangGraph and Azure OpenAI reduced manual sales proposal effort by 70%.

I’ve delivered NLP resume parsing for Infosys’s global careers platform, improving skill extraction accuracy by 80%. I also build MCP servers, MCP-enabled agents, LLMOps pipelines, and production AI microservices with FastAPI, Flask, Django, Kubernetes, and Jenkins.

My recent work includes Navi MCP framework, supporting data, policy, and transactional assistants used by more than 150,000 Infosys members. I also developed an agent-based SDLC framework that automated user stories, test cases, high-level design, and code generation, reducing developer effort by more than 70%.

Before Infosys, I worked at Pfactorial Technologies on computer vision, NLP, analytics, and deep learning products. I trained PyTorch and TensorFlow models for helmet detection, document QA, resume parsing, sentiment analysis, and document analysis systems.