I touched these things.

A Classical-Quantum Hybrid Machine Learning Study for Tabular Medical Data Classification

Undergrad thesis. Built and evaluated HyPar-Q, a parallel hybrid classical–quantum classifier combining a neural network with a 4-qubit variational quantum circuit. Tested across four medical datasets (WDBC, SEER, Heart, Diabetic) with rigorous cross-validation and leakage auditing. Introduced a representation-level diagnostic pipeline (ANOVA feature selection, CKA similarity, linear probing) to analyze branch divergence, then used those findings to motivate a decorrelation loss and fusion ablations. Results show hybrid models outperform classical baselines on balanced datasets when branches learn sufficiently different representations.

Recipe Planner

Full-stack meal planning app: React frontend (weekly planner, paginated recipe cards, auto-generated shopping list, gamified streak tracking with 365-day activity heatmap) + Spring Boot REST API with JWT/BCrypt auth, Spring Data JPA, PostgreSQL, Flyway. Integrated Google Gemini AI for on-demand recipe generation and ingredient-based fridge search.

• Live

Movigo - Movie Streaming Platform

School project. Built responsive React UI for browsing and streaming pages in a team of 5 (SCRUM). Configured AWS S3 with presigned URLs for secure video upload/download without exposing credentials, plus bucket policies and CORS settings for FE↔BE communication.

POP3/SMTP Email Client

School project. Implemented a POP3/SMTP email client over raw TCP sockets in Python with multi-threaded connection handling for concurrent send/receive. Local email storage with SQLite and configurable filtering rules for inbox management.

• GitHub