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, PCM (CBSE)

    ARB International School, Tamil Nadu, India

Experience

  • Jul 2025 - Present

    AI Agents Developer (Intern)

    Kartavya Technology • Bengaluru, Karnataka, India (Remote)

    • Nov 2025 - Present

      Data Associate L1

      Infotact Solutions • Bengaluru, Karnataka, India (Remote)

      • Sep 2025 - Nov 2025

        Backend Developer (Intern)

        Maximizze Media • Gurugram, Haryana, India (Remote)

        • Jul 2021 - Jan 2022

          Frontend Web Developer

          Freelance • Coimbatore, Tamil Nadu, 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