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I'm a software engineer passionate about building intelligent systems. Currently pursuing my degree in Computer Engineering, I spend most of my time working with ML models, building web applications, and solving complex problems through code.
My focus is on creating practical solutions—from predictive models for IPO analysis to full-stack hospital management systems. I enjoy the entire development cycle: understanding the problem, designing the architecture, writing clean code, and deploying production-ready systems.
Built a system to identify and reduce bias in language models using causal inference techniques. Instead of just measuring correlation, I analyzed how sensitive attributes actually influence outputs and implemented interventions to reduce unfair predictions. The challenge was maintaining model performance while improving fairness—achieved measurable bias reduction with minimal accuracy trade-off.
Created a machine learning system to evaluate IPO potential using historical financial data. Combined XGBoost and LightGBM models with extensive feature engineering to predict success probability. Added SHAP analysis to make predictions interpretable—investors can see exactly which factors drive the score. Deployed with a web dashboard for real-time evaluation.
Full-stack web application to manage hospital operations—patient registration, appointments, medical records, and billing. Built with Vue.js frontend and Flask backend, focusing on clean UI/UX and reliable data handling. The goal was to replace fragmented manual processes with a single unified system that doctors and administrators could actually use.
Event management platform handling everything from registration to virtual meetings. Built with the MERN stack—MongoDB for data, Express/Node for the backend, and React for the interface. Integrated real-time notifications and scheduling features. The hardest part was coordinating multiple services (email, video calls, reminders) into a smooth user experience.
Gamified coding education platform that makes learning feel like playing a game. Built with Flask and SQLite, featuring lessons, quizzes, XP progression, and a simulated terminal for practice. Added competitive elements like leaderboards and achievements to keep users engaged. The idea was simple: make learning code addictive instead of boring.
Coursera
2023Oracle
2025Oracle
2025Oracle
2025Oracle
2025Cisco
2024Cisco
2024LinkedIn Learning
2025LinkedIn Learning
2025Gandharv VIIT
2024
Corpstrata - EDC VIIT
2024
EDC VIIT
2023-2024
Looking to collaborate on a project or just want to chat about tech? Feel free to reach out.