about

Aspiring Machine Learning Engineer with a passion for building intelligent systems that solve real-world problems.

background

I’m a Machine Learning and AI enthusiast currently pursuing a B.Tech in Computer Science, with experience building intelligent systems that blend practical engineering with advanced research. My work spans from model distillation and neural network visualization to NLP tasks like sarcasm detection, with a strong emphasis on performance, interpretability, and usability.

Alongside AI, I have a solid foundation in full-stack web development, having built responsive, production-grade applications using React, TypeScript, Flask, and Next.js. I actively contribute to open-source projects and stay engaged in coding competitions, constantly refining my skills across both software development and machine learning domains. Currently, I'm exploring in-depth deep learning and started with DevOps.

Education

  • 2023-2027

    B Tech in Computer Science & Engineering (AI & ML)

    Lovely Professional University, Punjab, India

  • 2022-2023

    Senior Secondary (CBSE)

    ARB International School, Tamil Nadu, India

Experience

  • Sep 2025 - Present

    Backend Developer (Intern)

    Maximizze Media • Gurugram, Haryana, India (Remote)

    • Jul 2025 - Present

      AI Agents Developer (Intern)

      Kartavya Technology • Bengaluru, Karnataka, India (Remote)

      • Sep 2023 - Feb 2025

        Junior ML Team Member

        Google Developer Student Club - LPU • Phagwara, Punjab, India

        languages

        English Proficient
        Tamil Native
        Hindi Fluent
        Malayalam Fluent

        achievements

        Hackathons & Competitions

        Smart India Hackathon (SIH) '24 Finalist

        National-level hackathon finalist

        Meta Hacker Cup '24 Global Rank 7730

        Round 1 Qualifier (out of 20K participants)

        LPU Hackathons 3x Finalist

        Consistent performance across university competitions

        Contest Performance

        Codechef Starters 176 Global Rank 53

        Outstanding Div. 2 performance

        Codeforces Round 1007 Global Rank 270

        Division 2 contest performance

        Academic & Open Source

        CUET '23 Computer Science ~99%

        Exceptional entrance exam performance

        Open Source Contributions Active

        Open Climate Fix, Google DeepMind OSS, Gemini research

        philosophy

        I believe that the most effective AI systems combine solid mathematical foundations with practical engineering. My approach focuses on:

        • Research-driven implementation — Staying current with ML research but focusing on what actually works in production
        • Data-Centric Thinking — Emphasizing data quality and understanding over algorithm complexity
        • Iterative Development — Starting simple and iteratively improving based on real-world feedback
        • Explainable AI — Building systems that provide insights into their decisions, not just predictions