Hursh Prasad
Machine Learning Manager at Chronograph
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHursh Prasad is a Machine Learning Manager in New York with a decade of experience building production ML systems that span computer vision, NLP, semi-supervised and active learning, and human-in-the-loop workflows. He has led ML engineering teams and defined roadmaps and integrations at Chronograph while previously driving applied NLP experiments and feature roadmaps at DocAI. His background combines early-career systems and mobile architecture (including iOS and distributed trust networks) with an MS in Machine Learning from UCL and a long history of architecting scalable services. Known for bridging research and product, he translates cutting-edge papers into pragmatic pipelines and tooling that ship in enterprise settings. A pragmatic technical leader, he pairs hands-on model and pipeline work with cross-functional collaboration across product, services, and ops.
10 years of coding experience
14 years of employment as a software developer
The University of Maryland, College ParkUniversity College London
Stackoverflow
331reputation
14kreached
8answers
14questions
Github Skills (41)
python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
data-science9
ml9
deep-neural-networks9
reader8
pdf8
semantic-segmentation8
datasets8
pdf-generation8
annotations8
labeling7
Programming languages (3)
Github contributions (5)
hurshprasad/active-learning-elo-letor
Feb 2016 - Jun 2016
Contributions:24 commits, 6 pushes in 4 months
hurshprasad/ABSA
May 2017 - May 2017
Contributions:3 commits in 6 days
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