
Python
,FastAPI
,Scikit-learn
,TypeScript
, andFFmpeg
, I turn retrieval, inference, and media processing into reliable user-facing tools.Featured
Python
FastAPI
LangChain
ChromaDB
• Building a RAG-based application that scans and analyzes user documents, invoices, and service-center bills.
• Developing an AI-assisted evaluation workflow to determine whether service-center charges are justified.
• Implementing document ingestion and retrieval pipelines to extract relevant service, pricing, and billing information.
• Designing explainable responses that surface supporting context for each charge assessment.
React
FastAPI
PostgreSQL
TypeScript
• Developed an employee allocation and management platform using React, FastAPI, and PostgreSQL.
• Built REST APIs and relational data workflows for managing employee records and allocation operations.
• Optimized database queries and backend response handling to improve API performance.
• Contributed to migrating frontend state management from React hooks to Redux for more predictable and maintainable application state.
Featured
kdxgautam's coding journey over the past year
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About

I'm an AI/ML engineer and backend developer pursuing a B.Tech in Instrumentation and Control Engineering at NSUT. I build practical systems across document-grounded RAG, predictive machine learning, automated video processing, and scalable APIs, turning complex data and media workflows into reliable products.
Skills
My
Interested in collaborating? Let's connect.
You made it to the end. I'm probably turning another curious idea into a useful system.