Akash Bangera
Software Dev Engineer at Amazon
Mumbai, Maharashtra, United States
Summary
👤
Senior🎓
Top SchoolAkash Bangera is a software development engineer with broad experience across startups and large tech organizations, currently building scalable systems at Amazon after roles at Nutanix and Lab126. He brings eight years of hands-on engineering expertise spanning Python, Java, C++, deep learning, and computer vision, with a track record of shipping data-intensive products and production ML models. At CereLabs he led a multiprocessing workflow orchestration platform serving major financial clients and improved an entity-recognition model from 85% to 93% in two weeks, illustrating a pragmatic focus on measurable impact. His internship at Lab126 delivered an automated self-annotation pipeline for Alexa that reduced operational cost and accelerated go-to-market timelines. Comfortable across the full SDLC, Akash also mentors junior engineers and bridges research and deployment, having deployed models on GCP, SAP HANA and edge devices. Based in Mumbai, he pairs startup agility with enterprise-grade rigor to solve challenging, production-focused problems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Electronics Engineering, Bachelor of Engineering (B.E.), Electronics Engineering at Bharatiya Vidya Bhavans Sardar Patel Institute of TechnologyMaster of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Stony Brook University
Github Skills (1)
tensorflow10
Programming languages (1)
Github contributions (5)
akashbangera758/DCGAN-TensorFlow-Face-Generation
Jul 2018 - Jul 2018
Contributions:2 commits, 1 push, 1 branch in 1 day
akashbangera758/CRNN_Text_Recognition_Tensorflow
Jun 2019 - Jun 2019
This is a Tensorflow implementation of text recognition model from the paper "An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition".
Contributions:2 PRs, 6 pushes, 3 branches in 12 days
sequenceend-to-endtext-recognitionsequence-recognitiondeep-learning
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