About me

AI Software Engineer specializing in production multi-agent systems, LLM applications, and RAG workflows. Strong in backend orchestration, real-time streaming, retrieval, and deployment using FastAPI, Redis, WebSockets, and Azure OpenAI.

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. Agentic AI Engineer — Lenovo, Bangalore, IN

    Jan 2026 - Present
    • Designed and implemented a product comparison agent for Lenovo’s e-commerce chatbot, handling 10K+ daily queries and enabling structured comparison across specifications, pricing, and availability.
    • Built backend orchestration using FastAPI, Redis, WebSockets, enabling real-time streaming and integration with internal APIs and RAG-based retrieval.
    • Implemented response caching (~20% hit rate), multi-hop routing, and a hybrid execution pipeline combining deterministic flows with selective LLM invocation and token-efficient prompting, reducing latency and cost.
    • Deployed across EMEA (UK, Ireland, France, Germany, Netherlands), enabling B2B and B2C product discovery tied to $50M+ revenue.

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

    June 2024 - Dec 2025
    • Built an LLM-powered document processing pipeline using Azure OpenAI and OCR, extracting structured data and summaries from insurance documents, reducing manual review effort.
    • Reduced hallucinations by applying schema-driven validation and domain guardrails, ensuring consistent structured outputs across extracted data.

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

    Sept 2023 - May 2024
    • Improved telecom platform reliability by implementing rate limiting and connection pooling, enabling safer handling of concurrent test-call requests.
    • Built data pipelines to sync MDM data and process system logs, detecting errors and indexing results into Elasticsearch.

My Skills

  • Languages: Python, Java, JavaScript
  • AI & GenAI: RAG, LangChain, LangGraph, Azure OpenAI, Hugging Face, MCP
  • Backend / Systems: FastAPI, Redis, WebSockets, Async processing
  • Data / Search: MongoDB, MySQL, Elasticsearch, Azure AI Search
  • DevOps / Infra: Git, GitLab, Azure DevOps, Docker, Kubernetes

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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