Ovidiu Ghinet
Head Of AI Solution Architecture & Distinguished Engineer AI Execution And Enablement at UBS
Zug, Zug, Switzerland
Summary
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Rockstar🎓
Top SchoolOvidiu Ghinet is an experienced engineering leader with 11 years in software and a long Unix/systems background, now heading AI Solution Architecture and serving as Distinguished Engineer for AI Execution and Enablement at UBS in Zug. He blends hands-on backend development—contributions to projects like Grafeas and pathfinding integrations for PokemonGo-Bot—with strategic roles that introduced software supply-chain auto-governance and secure-by-design principles across large engineering organizations. His career spans deep operational expertise in global trading infrastructure, CI tooling, and platform excellence, enabling him to bridge low-level systems reliability with large-scale AI delivery. Known for pragmatic automation and resilience thinking, he routinely turns complex regulatory and operational constraints into auditable, production-ready solutions.
11 years of coding experience
10 years of employment as a software developer
BSc (Honours) Computing IT and Statistics Computer Science and Statistics, BSc (Honours) Computing IT and Statistics Computer Science and Statistics at The Open University
Stackoverflow
400reputation
23kreached
4answers
0questions
Github Skills (25)
apim10
python10
apidoc10
protocol-buffers10
bots10
pokemongo10
go10
api10
googlebot10
google-maps-api10
postgresql9
databases9
automation9
database9
automations9
Programming languages (8)
Github contributions (5)
PokemonGoF/PokemonGo-Bot
Jul 2016 - Sep 2016
The Pokemon Go Bot, baking with community.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits, 50 PRs, 3 pushes in 1 month
Contributions summary:Ovidiu primarily contributed to the development of the `pokemongo-bot` project by implementing and refactoring the `polyline_walker` and related classes. They introduced a Google Directions API integration for more advanced pathfinding, and refactored the code to improve the overall structure and performance. The user also addressed several bugs and edge cases related to API usage and path calculation. The contributions demonstrate expertise in pathfinding algorithms, API integrations, and code refactoring.
pythonpokemongofdiscordbotdiscord-bot
grafeas/grafeas
Oct 2020 - Dec 2020
Artifact Metadata API
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 reviews, 6 commits, 2 PRs in 1 month
Contributions summary:Ovidiu primarily contributed to the back-end functionality of the Grafeas project, focusing on API and storage-related improvements. Their work involved adding validation checks, regenerating protocol buffer files, and incorporating fixes to the database interactions, specifically in the context of a Go-based API. Additionally, the user addressed issues with page size validation and database interactions within the testing framework.
metadata-apiapiartifactmetadata
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