Ogban Ugot
AI Software Engineer at DeSci Labs
Lagos State, Nigeria
Summary
🤩
Rockstar🎓
Top SchoolOgban Ugot is an AI Software Engineer with eight years of experience building production-grade ML and backend systems from Lagos, Nigeria. He combines research-driven machine learning work—contributing to projects that refactor core linear algebra primitives for multi-framework compatibility—with practical cloud-native engineering, notably enhancing Convoy’s webhook gateway with in-memory and Redis queuing, observability CLI tools, and rate-limiting features. His background spans startup and research environments, from co-founding an e-commerce backend to roles at YC-backed Convoy and academic AI labs, and he now focuses on AI-enhanced, decentralized scientific publishing at DeSci Labs. Ogban’s profile shows a blend of deep technical breadth (mechatronics to ML) and hands-on open-source impact, with a knack for turning algorithmic improvements into robust, test-covered infrastructure.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of LagosBachelor of Technology - BTech, Mechatronics, Robotics, and Automation Engineering, Bachelor of Technology - BTech, Mechatronics, Robotics, and Automation Engineering at Bells University Of Technology
Stackoverflow
39reputation
0reached
2answers
0questions
Github Skills (28)
python10
redis10
machine-learning10
go10
api-gateway10
linear-algebra10
api-design9
apim9
pytorch9
numpy9
tensorflow9
api9
jax9
automations8
cli8
Programming languages (8)
Github contributions (5)
frain-dev/convoy
Jan 2022 - Jul 2022
The Cloud Native Webhooks Gateway
Role in this project:
Back-end Developer
Back-end DeveloperContributions:93 reviews, 48 commits, 75 PRs in 6 months
Contributions summary:Ogban's primary contribution focused on adding support for in-memory and Redis queues for the webhook gateway. They implemented the necessary infrastructure, including storage clients, worker registration, and configuration, with supporting test scripts. Further contributions included the development of CLI commands for queue observability, and enhancements to the server including new configurations for rate limiting and retention policies. They also added and maintained several aspects of the project's API and its integration tests.
cloud-nativewebhooksconvoygolangautomation
unifyai/ivy
Aug 2022 - Dec 2022
Convert Machine Learning Code Between Frameworks
Role in this project:ML Engineer
ML EngineerContributions:45 reviews, 27 commits, 70 PRs in 4 months
Contributions summary:Ogban primarily contributed to the refactoring and development of machine-learning related functions within the `ivy` framework. Their commits show a focus on linear algebra operations, specifically matrix multiplication and matrix rank, as well as frontend implementations for JAX, NumPy, and Torch. The user also worked on test suite modifications, particularly those related to function testing.
machine-learningpythontensorflowpytorchnumpy
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