About me

I am a passionate software developer with a strong interest in machine learning and artificial intelligence. With hands-on experience in applied ML, GenAI, RAG, and MLOps, I focus on building production-grade AI systems.

Currently pursuing a Bachelor of Technology in Computer Science, I actively contribute to open source and work on real-world AI problems spanning analytics, automation, and intelligent agents.

What I'm doing

  • AI Intern

    Building GenAI, RAG, MLOps and agent systems.

  • Open Source Contributor

    Contributor to Open Food Facts (Robotoff).

  • Data Analyst

    Analyzed 10k+ data points and built dashboards.

  • Hacktoberfest Super Contributor

    Delivered impactful fixes across OSS projects.

Resume

Experience

  1. AI Intern School of AI

    Jan 2026 — Present

    • Designing and implementing production-grade Generative AI solutions, including agent-based workflows and retrieval-augmented generation (RAG) systems.
    • Developing end-to-end AI pipelines with a focus on reliability, scalability, and real-world applicability.
    • Working with modern ML tooling and MLOps practices to deploy, monitor, and iterate on AI systems in production environments.

  2. Open Source Contributor Open Food Facts

    July 2025 — Oct 2025

    • Contributed to the Open Food Facts ecosystem, with a focus on improving developer-facing SDKs and internal tooling.
    • Enhanced code quality, maintainability, and usability by addressing bugs, refining APIs, and improving documentation.
    • Collaborated with a distributed open-source community, participating in discussions, reviews, and iterative improvements.

  3. Data Analyst KultureHire

    March 2025 — June 2025

    • Analyzed large-scale HR and recruitment datasets to uncover trends related to hiring, retention, and candidate performance.
    • Built structured analyses and dashboards to translate raw data into actionable insights for stakeholders.
    • Supported data-driven decision-making by identifying patterns and presenting findings in a clear, business-oriented manner.

Education

  1. Maharshi Dayanand University B.Tech Computer Science

    2023 — 2027

    • Undergraduate coursework focused on computer science fundamentals, data structures, algorithms, and software engineering.
    • Developing a strong foundation in machine learning, data analysis, and applied artificial intelligence through academic and practical work.

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Contact

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