about me

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

I’m a Machine Learning & Applied AI Engineer 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 (AI & ML)

    Lovely Professional University

  • 2022-2023

    Senior Secondary, PCM

    ARB International School

Experience

  • Nov 2025 - Jan 2026

    ML Engineer

    Infotact Solutions • Remote

  • Jul 2025 - Dec 2025

    AI Agents Developer (Intern)

    Kartavya Technology • Remote

  • Sep 2025 - Nov 2025

    Backend Developer (Intern)

    Maximizze Media • Remote

  • Jul 2021 - Jan 2022

    Frontend Web Developer

    Freelance

languages

English Proficient
Tamil Native
Hindi Fluent
Malayalam Fluent

Hackathons

  • Smart India Hackathon '24 Finalist
  • Meta Hacker Cup '24 Global Rank 7730
  • LPU Hackathons 3x Finalist

Competitive Programming

  • Codeforces Specialist (1423)
  • CodeChef 4★ (1966)
  • LeetCode Knight (Top 3.69%)

Contests

  • Codechef Starters 176 Rank 53
  • Codeforces Round 1007 Rank 270

My approach combines mathematical foundations with practical engineering:

Research-driven

Focusing on what actually works in production.

Data-Centric

Data quality > algorithm complexity.

Iterative

Start simple, evolve based on feedback.

Explainable

Insights over black boxes.