Sumit Chaudhary

About Sumit Chaudhary

SDE-1 at C3iHub and M.Tech CSE graduate from IIT Kanpur. I am a Software Engineer who focuses on turning research-driven concepts into stable, production-ready backend systems.What I’m doing now:At C3iHub (IIT Kanpur), I am part of the team engineering a Generative AI assessment platform. My work is focused on the \"engine\" behind the AI—developing containerized microservices with FastAPI and Docker, building RAG pipelines, and managing asynchronous data workflows to ensure real-time performance and system reliability.How I apply my skills:My expertise is rooted in the Python ecosystem, where I bridge the gap between complex logic and scalable infrastructure. I have applied FastAPI and PostgreSQL to build intricate scoring algorithms and data hierarchies, used Docker to ensure consistent deployments across environments, and leveraged Redis to optimize system response times. My experience with RAG and LangChain isn\'t just about the models; it’s about engineering the retrieval systems, API contracts, and metadata-driven logic that make AI applications traceable and robust.My Engineering Philosophy:I thrive in the \"blank page\" stage of a project. I am a quick learner who enjoys brainstorming solutions to real-world problems and building them from the ground up. I am deeply committed to writing clean, maintainable code and thorough documentation, believing that the best engineering solutions are the ones that are easy for a team to understand, extend, and scale.I’m always open to discussing backend engineering, GenAI integration, or solving new technical challenges from scratch. Let\'s connect!

Experience

1. Software Development Engineer

   C3iHub, IIT Kanpur

   Jul 2024 — Present

   Microservice Development: Developed and deployed a Generative AI service using FastAPI and Docker to automate policy compliance analysis through a multi-stage RAG pipeline. Asynchronous Systems: Engineered an asynchronous processing flow using WebSockets and BackgroundTasks, reducing manual audit time by 80% while maintaining >85% accuracy in compliance detection. Traceability & Logic: Designed a metadata-mapping logic to enable end-to-end auditability, linking generated responses to specific source clauses and page numbers. System Integration & API Design: Integrated the CSCMM platform with an AI-driven processing engine; designed API contracts and coordinated the field-testing of AI applications across multiple organizations, ensuring system stability and consistent data handling.

Education

• De Nobili School

  ICSE(X)

• Madan Mohan Malaviya University of Technology

  B. Tech, Computer Science and Engineering

• Chinmaya Vidyalaya, Bokaro Steel City

  Intermediate science

  2014 — 2016

• Indian Institute of Technology, Kanpur

  M.Tech, Computer Science and Engineering

  2022 — 2024