Competing in 24-hour AI hackathons requires ruthlessly triaging features: build the core AI value loop first, enforce strict API JSON schemas, and ensure the UI demo provides instantaneous visual feedback.
Hackathon Golden Rule
Judges test working software over pitch slides. Spend 80% of time perfecting the primary user flow and reducing response latency.
Building Resumetrix: Architecting an ATS Resume Parser & AI Engine with Gemini 1.5 Pro & WebAssembly
A deep dive into how I built Resumetrix—an AI career toolkit that parses complex PDFs in-browser via WebAssembly, computes semantic embedding matches, and stream-optimizes resumes for Applicant Tracking Systems.
Final-Year CS Student & Full-Stack / AI Developer
Integrating Gemini 1.5 Pro into Web Applications: Streaming, Functions, & Schema Validation
A comprehensive guide to building production-grade server-side proxies for the Google GenAI SDK with structured response validation, token usage monitoring, and zero-latency SSE streaming.
Final-Year CS Student & Full-Stack / AI Developer