Shreyas Kera
Senior Software Engineer at SiMa.ai
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolShreyas Kera is a Senior Software Engineer with six years of experience building compiler and ML-kernel tooling for edge AI hardware, currently on the Compiler team at SiMa.ai in San Jose. He combines hands-on systems and ML experience—from quantizing vision and transformer models for integer MLSoCs to shipping optimized kernels that improve performance and efficiency. A Cornell Tech M.Eng. student with a B.E. from BITS Pilani, he pairs academic rigor (research at Harvard VCG on data-efficient super-resolution) with product-focused engineering at startups and firms like Publicis Sapient and Infor. He has practical ML-ops and deployment chops (AWS pipelines, Docker, Flask) and a track record of squeezing model accuracy from far less data. Colleagues describe him as a pragmatic problem-solver who bridges research insights and production constraints to accelerate Physical AI.
6 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Engineering - MEng Computer Science Computer Science, Master of Engineering - MEng Computer Science Computer Science at Cornell TechISC, ISC at Greenwood High International School
Github Skills (59)
pytorch10
bounding-box10
python10
machine-learning10
image-translation10
generative-adversarial-network10
google-colab10
deep-learning10
computer-graphics10
image-manipulation10
opencl9
multistage9
gpu9
tensorflow9
neural-network9
Programming languages (3)
Github contributions (5)
shreyas-bk/OptimalCluster
Jul 2020 - Nov 2021
OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log.
Contributions:1 release, 46 commits, 8 PRs in 1 year 4 months
pythonstatistics
shreyas-bk/Personal_Face_Mask_Detection_V3
Jul 2020 - Jan 2021
Google Colab notebook written in Python, using the Tensorflow package, which uses a multifactor approach to determine whether a specific user is wearing a face mask or not.
Contributions:28 commits, 2 PRs, 26 pushes in 5 months
google-colabpythontensorflow
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