Hi, I’m Gavin. I build reliable software and performance-focused systems.

Contributed to parallel initialization and validation logic in the QuEST quantum simulation toolkit, collaborating directly with core maintainers on performance and correctness improvements.

• Worked on MPI, CUDA, and OpenMP initialization paths
• Assisted with validation utilities and performance analysis
• Received direct feedback and acknowledgment from the lead maintainer

Built a headless browser scraping pipeline for a private client to aggregate and analyze structured data across thousands of dynamic pages, handling auth flows, pagination, and anti-bot countermeasures automatically.

• Scraped and structured 50,000+ records with 99% field-level accuracy validated against source
• Reduced client's manual data entry workload by an estimated 120+ hours
• Automated nightly runs with delta detection to capture only new or changed entries

A fully local, privacy-first document Q&A system. Ask natural language questions across PDFs, Word docs, emails, and text files — LLM inference and vector storage run entirely on-device, no data ever leaves the machine.

• Hybrid retrieval combining BM25 keyword search and semantic vector search via Reciprocal Rank Fusion
• HyDE mode — LLM generates a hypothetical answer first to improve semantic chunk matching
• SHA256-based incremental indexing; only new or modified files are re-embedded on subsequent runs

An intelligent job application bot that automates the repetitive parts of applying at scale. Users pre-fill a profile once; the system handles the rest — navigating job boards, filling forms, and using AI to adapt answers to each posting's specific questions.

• Selenium-driven form automation with hardcoded site-specific logic for major job platforms
• AI-generated responses for free-text fields tailored to each job description
• User-defined profile keeps humans in control of core info while the bot handles execution