CSE @ Chennai Institute of Technology | Pragati Cohort 8 @ Infosys Springboard | Full Stack Developer | Aspiring Software Engineer
I'm a Second Year Computer Science student at Chennai Institute of Technology with a growing passion for problem-solving through code. I'm currently building a strong foundation in programming fundamentals, data structures, and algorithms. I am a curious and analytical thinker, and I'm eager to explore the diverse applications of computer science. I'm particularly interested in web development, AI, cybersecurity, etc. and I am keen to connect with professionals in the tech industry. Feel free to reach out!
Alta School of Technology
1 mo
McKinsey & Company
1 mo
Infosys Springboard
2 mos
Landmine Soft
2 mos
1M1B (1 Million for 1 Billion)
2 mos
Yugayatra Retail OPC Private Limited
Oct 2025 – Dec 2025
Developed backend features and internal tools using Python and SQL to support operational workflows; debugged and optimized software modules to improve system stability and reduce workflow errors; collaborated with 4+ developers during code reviews, testing, and feature implementation. Tech stack: Python, JavaScript, Git, SQL.
Edunet Foundation
Aug 2025 – Oct 2025
Developed responsive web interfaces using HTML, CSS, and JavaScript; improved UI performance and cross-browser compatibility; contributed to weekly sprint meetings and implemented UI improvements for learning platform features. Tech stack: HTML, CSS, JavaScript, Git, GitHub. Project Link: Quiz Galaxy.
Bachelor of Engineering - BE, Computer Science
Sep 2024 - Apr 2028
SSLC and HSC
Bachelor of Engineering (B.E.), Computer Science and Engineering
2024 – 2028
CGPA: 8.57
Machine learning-based transaction monitoring system. Built a fraud detection model to classify suspicious financial transactions, processed and analyzed 50k+ transaction records using Pandas and NumPy, and trained and evaluated models using scikit-learn with 92%+ accuracy. Tech stack: Python, Flask, scikit-learn, Pandas, NumPy.
AI resume screening and analysis platform. Built a tool to analyze resumes and compare them with job descriptions, extracted 15+ skill categories using NLP, and generated automated match scores and resume improvement suggestions. Tech stack: Python, NLP, Flask, MongoDB.