Umang Sharma
Chief Technology AI Officer And Founder at Wiley
Delhi, India
Summary
👤
Senior🎓
Top SchoolUmang Sharma is a founder and Chief Technology AI Officer with nine years of hands-on experience building production-grade AI systems, from LLMs and large vision models to multimodal search and satellite image segmentation. He founded ThreeV.ai after leading applied ML efforts at TomTom and building end-to-end deep learning products at Deloitte and Accenture, and has authored a Wiley book on Deep Learning with TensorFlow. Equally comfortable in research and engineering, he has designed MLOps architectures, implemented distributed GPU training, and contributed practical open-source tools like a TensorFlow.js IntelliJ plugin. He teaches and shapes curricula for premier institutions, demonstrating a knack for translating complex math and probabilistic ideas into accessible learning and products. Based in Delhi, he combines startup grit with enterprise-scale delivery and continues to recruit and mentor teams across ML and full-stack roles.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (BTech) Information Technology, Bachelor of Technology (BTech) Information Technology at Guru Gobind Singh Indraprastha University
English, Hindi
Github Skills (36)
openframeworks10
google-cloud-platform9
audio9
computer-vision8
python8
deep-learning8
android8
google-cloud8
gpu8
machine-learning8
linux8
gcp8
cloud-platform8
experiences8
opengl8
Programming languages (3)
Github contributions (5)
umang-sh/umang-sh.github.io
Aug 2018 - May 2020
Contributions:20 pushes, 1 branch in 1 year 9 months
umang-sh/Deep-Learning-Book-TFJS
Jul 2019 - Jan 2020
This repository has all the code for Deep learning Book , that I am currently authoring with Packt Publishing.The code is written in TensorFlow JS and Codes have been picked from official tfjs-examples repository
Contributions:7 PRs, 16 pushes, 1 branch in 5 months
publishingdeep-learningjavascriptpacktmachine-learning
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