Mindtech, a UK-based silicon and systems startup developing unique solutions for AI enabled visual processing, announced the appointment of Justin Bronder as VP-AI Strategy.
Prior to joining Mindtech, Justin worked at Microsoft, where he led a team of computer scientists that developed machine learning solutions using AI in the fields of reinforcement learning, generative adversarial networks, and object detection as well as using classical data science and statistical analysis to deliver optimal solutions to customers. He’s based in San Jose, CA.
Justin brings to Mindtech an extensive knowledge of real-world implementations of AI systems,” said Mindtech CEO Steve Harris. “He’ll play an integral role in managing and developing AI solutions for Mindtech customers and also help drive our company’s product roadmap and research focus.”
Harris added that Justin will also focus on Mindtech’s research program, looking into many aspects of utilizing both synthetic and real data for training. He will be looking at effective bias reduction methods, effects of novel network architectures on data requirements and how to optimize the overall data management workflow to produce the most accurate results. Justin will be presenting findings at leading AI conferences such as CVPR, ICML and NeurIPS.
Prior to Microsoft, Justin worked at Resnick Investments where he was a certified series 65 investment advisor, which will be invaluable as Mindtech broadens its funding base in 2020.
Justin also worked at Cardinal Optimization where he was involved in several real-world projects involving behavioral understanding of various environments, and analyzing their visual data to solve their problems.
Mindtech Global limited is a UK based start-up, focused on creating AI training platforms for accelerating the development of AI systems. It delivers solutions that blend AI with traditional algorithms and techniques to deliver practical systems that efficiently address real world needs. Mindtech’s first product, Chameleon, is a complete AI training platform designed to create synthetic data, and manage the datasets required for training AI systems.
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