Siddhant Kapil
Software Engineer at Amazon
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolSiddhant Kapil is a software engineer with nine years of experience blending full-stack development, machine learning research, and production-grade systems at companies including Amazon and Meta. He designs clean, well-documented RESTful architectures and is fluent in OOP/MVC patterns, relational and non-relational databases, and parallel processing for scalable applications. His research background includes GANs for data augmentation and a submitted ICML paper on a Siamese-discriminator GAN, reflecting deep math and ML foundations. Siddhant builds and deploys custom neural networks and loss functions — including cross-compiled models for ARM edge devices — and has a knack for creative data-generation techniques to improve model performance. Based in Menlo Park, he pairs academic rigor from UMBC with hands-on engineering across startups and large tech, consistently favoring simple, robust algorithmic designs that handle real-world edge cases.
9 years of coding experience
5 years of employment as a software developer
UMBCBachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering at Guru Gobind Singh Indraprastha University
Github Skills (23)
deploying9
python9
machine-learning9
tensorflow9
deep-learning9
neural-network8
data-science8
outlining7
webgl7
javascript7
ml7
deep-neural-networks7
typescript6
classification5
keras4
Programming languages (3)
Github contributions (5)
SiddhantKapil/slantness_correction
Nov 2017 - Nov 2017
Contributions:14 commits, 2 PRs, 16 pushes in 1 day
SiddhantKapil/DistributedSystemsMock
Apr 2020 - May 2020
Contributions:12 commits, 11 pushes, 1 branch in 24 days
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