Software Engineer with 2 years of experience in Python backend development, REST APIs, production support, automation, MERN-stack development, cloud deployment, and AI/LLM applications. Hands-on experience with Python, Flask, FastAPI, Node.js, Express.js, React, TypeScript, SQL, MongoDB, AWS, Docker, CI/CD, and microservices. Experienced in building AI-powered applications using LangChain, LangGraph, RAG, vector databases, embeddings, prompt engineering, tool calling, and LLM APIs. Strong background in debugging, root-cause analysis, API integration, automation, distributed systems, and cloud-based application development.
System Engineer
TCS
- Diagnosed distributed-system production issues; performed RCA and load testing across 1M+ requests, reducing errors from ~4% to <0.001%.
- Used Python, REST APIs, SQL, and CI/CD to validate deployments, resolve incidents, and communicate root causes.
- Built an AI-assisted workflow to convert logs and incident data into structured LLM/Copilot prompts.
- Developed a Python, Playwright, and ML-based regression platform achieving >95% anomaly-detection accuracy and reducing manual QA effort by ~90%.
Software Engineering Intern
DRDO
- Built a Python SIEM and Syslog pipeline using Linux networking and MongoDB, improving log-processing efficiency by 35%.
- Implemented sliding-window anomaly detection, improving detection responsiveness by 25% and accelerating incident investigations.
- Developed REST APIs and React dashboards for real-time security monitoring, reducing manual analysis by 40% and query time by 30%.
Property & Home Insurance AI Copilot
Built an agentic RAG system with multi-agent workflows, FAISS vector search, embeddings, conversational memory, and tool calling over PDF/CSV insurance data. Integrated agents with tools for claim tracking, contractor lookup, and repair-cost estimation, with retrieval evaluation and prompt engineering to improve context relevance.
BE
Matrusri Engineering College
Claude Certified Developer Foundations (CCDV-F)
Claude
Full Stack Web Development
LinkedIn Learning
Attendee · Oct 24, 2026