Vince Jankovics
CEO And Co-founder at Colgate-Palmolive
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVince Jankovics is an AI founder and strategist with a decade of experience building and deploying machine learning systems across startups and enterprise clients. As CEO and co-founder of Dot Square Lab and Strategic AI Consultant to Colgate-Palmolive, he blends hands-on ML engineering with executive-level strategy to turn AI visions into operational programs. His background spans research and production roles—from shipping action-recognition and planning systems at Meta to improving ML tooling at Cambridge Consultants and contributing to Ray, a widely used distributed AI compute engine. Vince combines deep technical skills in PyTorch/TensorFlow, edge deployment, and experiment tracking integrations (e.g., TensorBoard HParams and MLflow fixes) with practical infrastructure work like Kubernetes namespace support. He holds a PhD in Computer Science and a Distinction in Robotics, and he’s known for translating academic advances into reliable, customer-facing products. Less obvious: he moves fluidly between low-level embedded work and large-scale distributed ML, giving him rare end-to-end perspective on AI productization.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Mechatronics, Excellent - A, Bachelor's Degree, Mechatronics, Excellent - A at University of Southern DenmarkDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at City, University of LondonMaster’s Degree, Robotics, with Distinction, Master’s Degree, Robotics, with Distinction at University of Bristol
English, Hungarian
Github Skills (17)
pytorch10
python10
machine-learning10
tensorflow10
ray10
deploying9
deeplearning-ai9
deep-learning9
distribute9
mlops8
kubernetes-pods8
kubernetes8
rllib8
data-science7
mlflow7
Programming languages (13)
Github contributions (5)
ray-project/ray
Jul 2019 - Jun 2022
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 6 commits, 6 PRs in 2 years 11 months
Contributions summary:Vince contributed to the Ray project, focusing on machine learning and distributed computing. Their work included adding Kubernetes namespace support, indicating involvement in deployment and infrastructure. They also implemented TensorBoard HParams for TF2.0 and fixed issues related to MLflow integration, showcasing skills in model training, experiment tracking, and integration with external tools. Further, the user was responsible for updating dependencies to use Skimage for image processing and fixing a configuration issue in Rllib.
pythonconsistsruntimetensorflowserving
vakker/CILP
Feb 2020 - Sep 2020
Contributions:44 commits, 11 pushes in 7 months
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