I’m a computer science student and website developer focused on building reliable, polished web experiences. Most of my hands-on work is in WordPress + WooCommerce, and I also spend a lot of time learning and researching machine learning / AI, especially in areas involving video and real-time systems.

• Build and customize WordPress + WooCommerce sites for real production use
• Develop custom plugins, ACF blocks, and WooCommerce extensions (product logic, pricing, checkout fields, REST endpoints)
• Improve performance and maintainability (caching, query tuning, cleanup/refactors)
• Implement practical security hardening (headers/CSP, bot mitigation, server rules)

• Explore multimodal ML (video, audio, motion/pose features) with an interest in real-time inference
• Work on a senior project related to violence anticipation in streaming video (predicting risk before events occur)
• Enjoy the full pipeline: dataset handling, training, evaluation, and deployment considerations

• Run servers, backups, and monitoring workflows
• Manage and optimize game servers (performance tuning, automation, reliability)

• Building scalable, maintainable WooCommerce tooling that reduces manual admin work
• Improving ML workflows for speed and evaluation quality (latency, robustness, reproducibility)
• Strengthening my DevOps fundamentals: logging, monitoring, deployments

Web: PHP • JavaScript/TypeScript • WordPress • WooCommerce • ACF • REST APIs • SQL
ML/Data: Python • PyTorch • NumPy • video/data pipelines
Infra: Linux • web servers • Cloudflare-style setups • backups/automation

Repos vary, but these categories cover the kind of work I build most often:

• WooCommerce Customization & Automation
  Custom product behavior, pricing logic, checkout/admin enhancements, and integrations.

• WordPress Blocks & Components
  Editor-friendly ACF blocks (tabs/accordions/layout components) designed to be reusable and stable.

• Multimodal ML Research (Video + Real-Time Focus)
  End-to-end training/evaluation work for anticipating events in streaming video with real deployment constraints.

• Homelab Automation & Reliability
  Scripts/tools for backups, monitoring, and keeping services running smoothly.

• Writing cleaner architectures and better abstractions (without overengineering)
• ML deployment skills (speed, reliability, and “works outside the notebook”)
• Systems knowledge: performance, networking, and infrastructure best practices

• Portfolio: https://www.nathangamache.com/
• LinkedIn: https://www.linkedin.com/in/nathan-gamache-3276a2292
• Email: nathanpaulgamache@gmail.com