Building intelligent systems at the intersection of ML, full-stack engineering, and competitive programming. 200+ DSA problems. Always learning.
I'm a B.Tech CSE student specializing in AI & ML at Sharda University, Greater Noida. My work lives at the intersection of intelligent systems, competitive programming, and real-world software engineering.
From building facial recognition attendance systems with OpenCV and MediaPipe to engineering full-stack platforms, I care deeply about writing software that solves actual problems — not just compiles cleanly.
When I'm not building projects, I'm grinding competitive programming on LeetCode and Codeforces, pushing my algorithmic thinking with over 200 problems solved. I believe a strong CS foundation accelerates everything else.
Developer productivity intelligence platform. Detects workflow inefficiencies — workload imbalance, irregular commits, missed deadlines — with real-time team health scoring.
AI-powered classroom attendance using OpenCV and MediaPipe. Flask backend with Firebase for real-time sync. Preprocessing pipelines for high-accuracy face detection.
Full-stack application for locating nearby EV charging stations using real-time geolocation and maps API. RESTful backend for scalable station data retrieval with low latency.
Designed scalable technical solutions in a competitive national team environment. One of India's largest student hackathons.
Collaborated in a team to develop innovative solutions under real-time constraints. Presented to Adobe India engineering team.
Earned the 100 Days Badge 2026 — consistent daily coding streak demonstrating discipline and commitment to DSA mastery.
Cleared 200+ problems across LeetCode and Codeforces. Strong coverage of Arrays, Trees, Graphs, DP, Recursion, and Greedy Algorithms.
Open to internships, research collaborations, and interesting projects. If you're working on something in AI/ML or full-stack engineering, I'd love to hear about it.
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