Join Date
October 2024
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About Dmitry Kazhdan
Dmitry is finishing his PhD in Explainable AI from the University of Cambridge. During his studies, Dmitry has co-authored over 8 academic papers, and supervised 4 student thesis projects. In addition to his academic expertise, Dmitry has gained relevant industry experience through Software Engineer and Machine Learning Researcher internships at companies such as Arm, Nokia Bell Labs, and Redgate Software.
Companies & Work
Tenyks
Tenyks (YC'S21) is a University of Cambridge spin-out inventing the intelligence that powers the AI revolution to protect the world from the Terminator. Imagine Snowflake for Vision, helping ML Engineers build better, safer models, in a faster and more efficient way.
Specifically, our end-to-end platform is CV Engineers' Ultimate Productivity Tool to:
1. Automate Data Quality Detection: It streamlines the process of identifying and rectifying data quality issues, ensuring the integrity of your datasets.
2. Accelerate Data Curation: Our platform expedites the curation of similar images and objects, facilitating data collection and balancing.
3. Catalog Vast Datasets: With its flexibility, the platform allows you to efficiently index and catalogue extensive datasets.
4. Seamless CI/CD Integration: Tenyks effortlessly integrates with your CI/CD pipelines, reducing the risk of regressions and enhancing your development workflow.
5. Security & Scalability: Securely orchestrated in the cloud to foster seamless cross-team collaboration and scale to millions of images & hundred of millions of objects.
The founders developed the technology (the result of 9 top-tier publications and a patented invention) during their PhD research in Safe & Explainable AI for Computer Vision.
Specifically, our end-to-end platform is CV Engineers' Ultimate Productivity Tool to:
1. Automate Data Quality Detection: It streamlines the process of identifying and rectifying data quality issues, ensuring the integrity of your datasets.
2. Accelerate Data Curation: Our platform expedites the curation of similar images and objects, facilitating data collection and balancing.
3. Catalog Vast Datasets: With its flexibility, the platform allows you to efficiently index and catalogue extensive datasets.
4. Seamless CI/CD Integration: Tenyks effortlessly integrates with your CI/CD pipelines, reducing the risk of regressions and enhancing your development workflow.
5. Security & Scalability: Securely orchestrated in the cloud to foster seamless cross-team collaboration and scale to millions of images & hundred of millions of objects.
The founders developed the technology (the result of 9 top-tier publications and a patented invention) during their PhD research in Safe & Explainable AI for Computer Vision.
