About me

AI & Full-Stack Engineer passionate about AI and Large Language Models (LLMs), experienced in Generative AI, RAG, MCP servers, and LLM pipelines.

Skilled in designing end-to-end systems for data ingestion, vector stores, prompt engineering, and CI/CD, delivering reliable, cost-efficient AI features for enterprise and consumer applications.

What I'm doing

  • AI icon

    Generative AI

    Building and deploying GenAI-powered applications with LLMs.

  • Web development icon

    Full-Stack Development

    Developing end-to-end systems with modern frameworks and technologies.

  • mobile app icon

    LLM Pipelines

    Designing scalable pipelines for data ingestion, vector stores, and prompt engineering.

  • cloud icon

    DevOps & CI/CD

    Automating build, test, and deployment cycles 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 & Full Stack Engineer - TCS, Bangalore, IN

    June 2024 - Present

    Modernized middleware ECM for a reinsurance client by migrating monolith to microservices with .NET Core, Docker, and Kubernetes, improving reliability, shortening release cadence, and cutting deployment time by 40%.
    Streamlined front-end to back-end delivery by building React features, packaging them with Docker, and implementing Azure DevOps CI/CD pipelines that automated the entire build–test–deploy cycle.
    Ideated and delivered a Claim Summarization POC using Azure OpenAI with RAG, fusing OCR outputs and Documentum context to generate concise, context‑aware summaries for adjusters.

  2. Research and Development Intern - Nokia, Bangalore, IN

    Sept 2023 - May 2024

    Built asynchronous Java Spring Boot workers to sync master data from MDM systems into backend tables, improving data freshness and reliability of downstream pipelines.
    Developed Python ETL pipelines to parse telecom signaling logs and index structured events into Elasticsearch.
    Exported metrics to Prometheus and enabled real-time 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 focused on Data Structures & Algorithms.

My Skills

  • Languages: C++, C#, Java, JavaScript, Python
  • AI & LLMs: Azure OpenAI, Hugging Face Transformers, LangChain, MCP, Prompt Engineering, RAG, Vector DBs
  • Frameworks: .NET Core, Spring Boot, React, Express.js, FastAPI
  • DevOps & Cloud: Azure DevOps, Docker, Kubernetes, Helm, CI/CD, Git
  • Databases & ORM: MongoDB, MySQL, Entity Framework, JPA
  • Observability & Testing: Elasticsearch, Prometheus, Grafana, Kibana, JUnit, xUnit

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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