- π Final-year CS Engineering student at Thapar University, Patiala.
- π€ Passionate about AI/ML, building predictive models, and real-time monitoring systems.
- π± Developing robust cross-platform applications using Flutter and React Native.
- π Strong background in Quantitative Finance & Data Analysis (Interned at BB Advisory; Completed Futures First Trading Course).
- π‘ Solved 100+ LeetCode problems focused on Data Structures & Algorithms.
- π§ Active tech leader: Deputy Technical Coordinator for Saturnalia, TIET & Ex-Comm for TEDx.
- π€ BGMI Win Prediction Model: Built Machine Learning models using Logistic Regression, CART, and KNN with 82% accuracy. Engineered a feature selection pipeline (Ridge/Lasso) for dimensionality reduction on 50k+ records.
- β‘ Real-Time Speed Monitoring System: Developed hardware-software logic in Python linking motion sensors with sub-100ms latency and 93% detection accuracy.
- π§ AayuMitra: A Flutter app with Firebase backend designed to assist elderly users, featuring real-time sync and an intuitive UI/UX.
- ποΈ Saturnalia App (50th Edition): Developed the official app for TIET's annual fest. Designed custom UI in Figma, integrating Google Maps, event scanners, and push notifications for thousands of users.
- π Food Panda DB System: Implemented a relational MySQL database, optimizing query performance through indexing and stored procedures to improve response times.
- π Finance & Data Analysis Portfolio: Applied quantitative techniques and market research for risk management across equities and commodities.
- π₯ CodeSprint Hackathon β Runners-up, ranked top 2 among 100+ coders.
- π UI/UX Design Winner β Flamingo Design Competition 2023 (200+ entries).
- π Futures First Trading Course β Market analysis & strategy.
- π Global Publication β Published Eclipse 4.0 in ACM Digital Library Global.
- π Power BI & Data Projects β Data cleaning & visualization.
- π§ Cybersecurity & InfoSec β Thapar University, Certificate.
- π Handwritten Text Recognition β Certificate.

