About me

AI Software Engineer focused on Large Language Models (LLMs) and Generative AI. Experienced with RAG, MCP servers, and production-grade LLM pipelines.

I design end-to-end systems for data ingestion, vector stores, prompt engineering, and CI/CD — shipping reliable, cost‑efficient AI features for enterprise and consumer apps.

What I'm doing

  • AI icon

    Generative AI

    Building and deploying GenAI applications using modern LLM stacks.

  • Web development icon

    Full‑Stack Development

    Developing end‑to‑end systems with modern frameworks and tooling.

  • mobile app icon

    LLM Pipelines

    Designing scalable pipelines across data ingestion, vector DBs, and prompts.

  • cloud icon

    DevOps & CI/CD

    Automating build, test, and deploy with Docker, Kubernetes, and Azure DevOps.

Resume

Education

  1. Vellore Institute of Technology, Masters in Computer Applications

    Aug 2022 - May 2024

    CGPA: 9.33

Experience

  1. AI Software Engineer — TCS · Swiss Re, Bangalore, IN

    June 2024 - Present

    • Designed an AI‑powered document summarisation system using Azure OpenAI and OCR, automating extraction from unstructured, image‑based documents and reducing manual review time.
    • Refined prompts, output schemas, and guardrails; improved summary accuracy and relevance by ~20% based on business user feedback.
    • Built an Incident Resolution RAG system indexing troubleshooting guides, incident notes, and playbooks into a vector DB, enabling semantic search and LLM‑driven recommendations for faster root‑cause analysis.

  2. Research & Development Intern — Nokia, Bangalore, IN

    Sept 2023 - May 2024

    • Built asynchronous cron‑driven workers to sync master data from MDM into backend tables using incremental updates, improving data freshness and downstream reliability.
    • Developed Python ETL pipelines to parse telecom signaling logs and index structured events into Elasticsearch.
    • Parsed signaling traces to detect failed call setups and anomalous handovers; exposed insights through Kibana/Grafana dashboards for faster troubleshooting.

  3. Product Engineer Intern — Pepcoding, Noida, IN

    Sept 2021 - Feb 2022

    • Built FastAPI endpoints to upload videos to Vimeo, retrieve metadata, and stream to the front‑end, ensuring playback.
    • Transitioned into a client‑side role, leading technical workshops on Data Structures & Algorithms.

My Skills

  • Languages: Python, Java, JavaScript
  • AI & GenAI: RAG Pipelines, LangChain, LangGraph, Azure OpenAI, Hugging Face, Prompt Engineering, MCP
  • Backend / Pipelines: FastAPI, ETL Pipelines / Async Workers
  • Data & Vector Stores: MongoDB, ChromaDB, Elasticsearch, MySQL
  • DevOps & Tools: Azure DevOps, Docker, Kubernetes, Git, CI/CD pipelines, Prometheus, Grafana

Achievements

  1. AIR 34, VITMEE MCA entrance (top 0.5% nationwide)

  2. 1500+ LeetCode rating (75+ contests)

  3. 1st Prize, AWS GameDay Hackathon, AWS Summit Bengaluru 2025

Contact

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