Computer Science & AI Engineer — Full-Stack Development, Machine Learning · 2027 Batch
I build reliable web systems and train models that make sense of data — from JWT-secured e-commerce backends to clinical risk classifiers with 94% accuracy. Final-year B.Tech CSE (AI) student at PSIT Kanpur, graduating 2027.
I'm a Computer Science & AI undergraduate passionate about building production-grade web applications and intelligent machine learning systems.
From crafting MERN-stack e-commerce platforms with JWT authentication and role-based access control to engineering sentiment analysis engines that process 10,000+ daily events — I bring ideas to life with clean, efficient code.
MERN Stack · Machine Learning · REST APIs · Data Analytics
B.Tech CSE (AI) at PSIT, Kanpur · 2027 Batch · Active learner & builder
Oracle AI Foundations · Andrew Ng ML · HackerRank 5★ Problem Solving
A unified data ingestion pipeline that normalises multi-platform streams into a single analytics layer for standardised sentiment scoring, with a live React dashboard for drill-down analysis.
Trained and compared Decision Tree, Logistic Regression and XGBoost models on a 14-feature clinical dataset to flag heart failure risk, with a full EDA report and documented model card.
End-to-end e-commerce application with product catalogue, cart management, Stripe checkout and an admin dashboard, secured with JWT and role-based access control.
Responsive weather dashboard that consumes a third-party API to display current conditions, 5-day forecasts and location-based search with dynamic UI themes.
Pranveer Singh Institute of Technology, Kanpur
St. Xavier's High School
Score: 63%
St. Xavier's High School
Score: 71.3%
Cloud Infrastructure Certified AI Associate
Problem Solving badge with 300+ problems solved
Active problem solver across algorithms & data structures
Coursera specialization covering supervised & unsupervised learning