Ashish Datta is a Principal Engineer with a focused track record building and optimizing AI frameworks and inference tooling across industry leaders including Cloudflare, Stability AI, and Intel. He specializes in productionizing deep learning models—particularly computer vision—using OpenVINO, TensorFlow, PyTorch and ONNX to squeeze performance and accuracy across edge and cloud platforms. His background spans hands-on roles from intern to architect, combining systems-level engineering with ML algorithm know-how to deliver scalable deployments in healthcare, retail, and automotive. A competitive problem-solver who has proven his skills in Kaggle challenges, he brings a pragmatic, performance-first mindset to ML infrastructure and model integration.
3 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.S.E.), Computer Systems Engineering, Bachelor of Engineering (B.S.E.), Computer Systems Engineering at Arizona State University
Associate of Science (A.S.), Associate of Science (A.S.) at Chandler/Gilbert Community College
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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