John Olafenwa
Senior Scientist at Microsoft
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJohn Olafenwa is a Senior Scientist at Microsoft with eight years of experience building cutting-edge deep learning and computer vision systems, currently leading frontier research and development in conversational and multimodal AI. He has driven production-grade innovations—such as the voice-driven animation system for Microsoft Teams and LLM post-training infrastructure for conversational agents—bridging research prototypes to customer-ready features. A hands-on engineer and researcher, he founded foundational work on the DeepStack cross-platform AI engine for edge devices, reflecting sustained open-source impact in on-device vision. His background spans software engineering, research science, and technical leadership roles, including CTO of a startup focused on democratizing AI and editorial work to upskill developers in cloud-native practices. Based in the UK, he regularly accelerates adoption of new techniques across teams through tooling, synthetic data pipelines, and internal training. Colleagues describe him as a pragmatic innovator who combines deep technical craft with product-focused execution.
8 years of coding experience
7 years of employment as a software developer
Auntie Kemi Model College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
face-detection10
computer-vision10
deep-learning10
python10
face-recognition10
pytorch9
object-detection9
tensorflow8
Programming languages (4)
Github contributions (5)
johnolafenwa/DeepStack
May 2020 - Jul 2022
The World's Leading Cross Platform AI Engine for Edge Devices
Role in this project:
ML Engineer
ML EngineerContributions:6 releases, 7 reviews, 104 commits in 2 years 1 month
Contributions summary:John's initial commits establish the foundation of the project. They've introduced core files for AI model integration and face recognition, likely setting up the infrastructure for the "AI Engine" described in the repository description. These commits show a strong initial focus on computer vision and deep learning, aligning with the repository's core functionality. The work involves the initial setup of the deepstack AI engine.
scene-recognitiondeep-learningedge-devicesface-recognitioncomputer-vision
johnolafenwa/DeepStack-Base
Sep 2020 - May 2022
Base Docker Images for DeepStack AI Server
Contributions:22 commits, 12 PRs, 47 pushes in 1 year 8 months
deep-learningdockerdeepstackdocker-imagescontainer
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