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 (76)
python10
bounding10
deep-learning10
computer-graphics10
gpu10
highlighting10
cyclegan10
backgrounds10
image-translation10
removal10
image-manipulation10
dcgan10
machine-learning10
generative-adversarial-network10
google-colab10
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
statisticspythonnumber-of-clustersclusterspython-implementation
shreyas-bk/u2netdemo
Aug 2020 - Aug 2022
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
Contributions:92 commits, 14 PRs, 91 pushes in 2 years
croppingboxboundinggoogle-colabu-2-net
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