Zherish Galvin Mayordo
Hi, I'm Zherish (Galvin or Zhe works too). I studied Computer Engineering because I loved factory robots. Somewhere around my thesis, a robot arm you teach by hand, I realized it was the automation I loved, not the robots.
Now I build internal systems for small teams: the automations, dashboards and tools that take the hand-work out of someone's week. I'm based in the Philippines (GMT+8) and work with clients here and abroad.
Volunteers at Solace of Christ Church use my lyrics formatter every week. For a team that builds trading algorithms for subscribers, I built a trading bridge that runs many strategies on one account. Trading systems run on live servers, where a failure nobody catches costs real money. I bring the same care to yours.
Bachelor of Science in Computer Engineering (May 2025) · Co-author, IEEE TENCON 2024 and Diagnostika 2024 · Certificates from IBM, DeepLearning.AI & Stanford University and Cisco Networking
Experience
- Built a lyrics formatter for Solace of Christ Church, used every week and saving volunteers 10+ minutes per song.
- Build custom internal systems for small teams, handed over with documentation and training.
- Develop trading algorithms that traders subscribe to.
- Replaced the team's capped, paid alert service with a system of their own: no account limit, failure alerts and one dashboard.
- Developed, deployed and monitored trading algorithms and indicators on live servers.
- Wrote a library that connected the team's strategy alerts to their broker's trading terminal.
- Trained deep-learning models to diagnose motor faults from electrical signals.
- Compared signal-processing methods to find which gave the most accurate diagnoses.
- Co-authored two papers, published at IEEE TENCON 2024 and Diagnostika 2024.
Want to see if I can help your team?
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