Senior Machine Learning Engineer at Siemens Digital Industries Software
San Jose, California, United States
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Summary
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Suhas Pillai is a Senior Machine Learning Engineer with roughly a decade of experience applying deep learning and computer vision to real-world problems, currently at Siemens Digital Industries Software after leading DL efforts in semiconductor manufacturing at CDLe. He specializes in sample-efficient neural networks, synthetic-data-driven training, real-time edge inferencing, and image registration, with peer-reviewed publications in SPIE, ICIP and ICPR. At CDLe he accelerated inverse lithography workflows and built one-click, multi-GPU training/inference pipelines that address data scarcity in the semiconductor domain. Earlier roles span NLP search and summarization systems, satellite imagery detection, FPGA-aware model design, and industrial document OCR—demonstrating a practical breadth across domains and deployment targets. He co-created a deep learning curriculum and enjoys hands-on, startup-style engineering, pairing rigorous research with production delivery. Based in San Jose, he balances technical work with mentoring and a competitive streak on the badminton court.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Rochester Institute of Technology
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at University of Mumbai
Recognize handwritten text in scanned documents using MultiDimensional Recurrent Neural Networks
Contributions:41 commits, 2 PRs, 36 pushes in 20 days
recurrent-neural-networks
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