ProjectsProjects.

A production-grade full-stack AI platform rebuilt from a data-mining course project — scaled from a 49-row academic dataset to 245K+ real Airbnb listings across 28 US cities, taking a data-science idea end-to-end into a shipped product.

The core is an explainable price-prediction engine built on scikit-learn and XGBoost with SHAP feature attribution (R² ≈ 0.54), so every prediction can be traced back to the features that drove it.

Layered on top: a five-tool agentic host advisor, RAG-backed market chat, and semantic search using sentence-transformer embeddings with a FAISS index.

Shipped as a Next.js 14 + TypeScript frontend against a rate-limited, streaming FastAPI backend serving seven data-mining models — containerized with Docker, quality gates automated through GitHub Actions.

A full-stack national park management portal handling visitor reservations, parking, and real-time analytics — live in production.

Next.js 14 App Router frontend (TypeScript, Tailwind, Framer Motion, Recharts dashboards) backed by an Express.js / TypeScript REST API driving 11+ Oracle stored procedures over node-oracledb thin-mode connections.

A Python FastAPI AI concierge handles personalized park recommendations using LangChain custom tool-use loops written from scratch rather than AgentExecutor, with RAG for grounding — plus an admin executive summary with PDF export.

Auth via NextAuth v4 with Google OAuth and JWT sessions, gating role-based visitor and admin dashboards. End-to-end CI/CD through GitHub Actions across all three services (web, api, ai).

A Bachelor's final year research project on why a GPS device can be off by several meters and software to measure the single biggest reason why.

A GPS signal travels from a satellite through the ionosphere, a charged layer of the upper atmosphere, before it reaches a receiver on the ground. That layer bends and slows the signal down, and by a different amount depending on the time of day, the season, and how active the sun is so the delay it causes is never constant. That inconsistent delay turns out to be the largest single source of GPS position error.

Built a MATLAB and Python pipeline that reads raw, publicly available satellite observation data (the RINEX format used by real GPS ground stations), pulls out the dual frequency signal measurements, and calculates the Total Electron Content (TEC) — a number that estimates exactly how much delay the ionosphere added at a given moment.

Published as "Review on Estimation of Ionospheric TEC" in the International Research Journal of Engineering and Technology (IRJET), Volume 07, Issue 09, September 2020.

Part portfolio, part professional diary — this site documents the move from BSE systems engineering into full-stack and AI development, with a bit of personality left in.

Deliberately built on a stack I have shipped production code in, paired with hand-written CSS animations instead of a motion library, keeping the page lightweight while leaving room for some design sensibility.

Black-and-white editorial layout, responsive throughout, optimized for performance and SEO.