Vikas Verma

About Vikas Verma

I am a GenAI Engineer working on building production-ready LLM applications, with a strong focus on Retrieval-Augmented Generation (RAG) and prompt engineering.My current work involves designing RAG pipelines, optimizing prompts, integrating LLMs with backend services, and deploying APIs for real-world use cases. I focus on making GenAI systems reliable, scalable, and usable in production environments.My work typically spans:– Prompt Engineering and context optimization– Retrieval-Augmented Generation (RAG) pipelines– Semantic chunking and vector search– Vector database integration (Pinecone / FAISS / Chroma)– FastAPI-based LLM services– AWS-based deployment and experimentationI am actively growing towards agentic and multi-agent GenAI systems, while strengthening my foundation in RAG, LLM behavior, and production deployment.I enjoy solving real business problems with GenAI and believe in learning through hands-on implementation rather than hype.

Experience

1. Generative Ai Engineer

   Infosys

   Jan 2026 — Present

Education

• MEERUT INSTITUTE OF ENGINEERING AND TECHNOLOGY, MEERUT

  B.Tech, Biotechnology

  2006 — 2010

• MEERUT INSTITUTE OF ENGINEERING AND TECHNOLOGY, MEERUT

  M.Tech, Biotechnology