2x Stanford's Code in Place Section Leader
Selected for global Python teaching and mentorship with learners from diverse backgrounds.
Graduate school portfolio
Building research-ready AI systems with software engineering discipline.
I am a software engineer preparing for graduate study particularly in applied AI, computer vision, health informatics, and human-centered intelligent systems. My work combines practical full-stack development with research habits: careful problem framing, reproducible evaluation, technical writing, and continuous learning.
Academic Direction
I am interested in graduate programs where I can study machine learning systems that solve concrete problems in healthcare, education, and assistive technology. I am especially drawn to projects involving computer vision, responsible AI evaluation, medical prediction models, and AI tools that support learning or expert decision-making.
Highlighted Achievements
2x Harvard CS50x Challenge Completion
Solved rigorous problem that strengthened diverse thinking, team colaboration and problem solving.
UC Berkeley CALICO Spring '26
Competed as part of a team in the intercollegiate programming contest against international teams.
Selected Strengths
Research Interests & Exploration
Actively exploring applied methodologies across AI, ML, and CV
Real Systems
Built full-stack and AI-powered tools using MERN, TensorFlow.js, MediaPipe, Gradio, and OpenAI workflows.
Teaching
Served as a Stanford Code in Place section leader and delivered programming workshops for beginners.
News
Workshop : Delivered a live Workshop on "NLP Essentials: Concepts to Code" - Co-Trainer M Fahad Bashir Recording Link
Hackathon: Submitted hackathon project 'Crop Passport AI' in an OpenAI week hackathon organized by DevPost. Devpost
Project: Classical to Modern NLP — A Research-Oriented Journey Through the Evolution of Natural Language Processing. GitHub Repo
Session: Delivered a live session to the students of 9th and 10th grade at Daska School. Watch Now
Article: Published an article titled 'Q-Learning: How an Agent Learns From Rewards — Intuition First, No Math'. Read Now
Workshop: Delivered a live workshop on practical audio processing with machine learning. Watch Recording
Workshop: Delivered "Real-Time Object Detection and Image Analysis using YOLO" to 30+ participants. Watch Recording
Mentorship: Selected for the second time as a Stanford Code in Place section leader and received the certificate. Link pending
Competition: Participated with my team in the UC Berkeley CALICO Spring '26 programming contest and received our certificate. Link pending
Team Challenge: Participated in Harvard CS50x Puzzle Day 2026 and solved problems with my teammates. Link pending
Live Coding: Presented different LeetCode problems in a live Zoom session for a DSA course. Link pending