Ashish Sharma
Machine Learning Engineer at Johnson & Johnson
Dallas, Texas, United States
Summary
👤
Senior🎓
Top SchoolAshish Sharma is a Machine Learning Engineer with eight years of experience building production ML systems across healthcare and consumer tech, currently leading algorithm development at Johnson & Johnson. He previously delivered multi-million-dollar savings at Apple by hardening refund-abuse models and creating an AutoML pipeline that cut model development time by days. At Cotiviti he automated claims processing at scale using LGBM and deep cross-network models, driving significant cost and throughput improvements and maintaining >95% precision via rigorous A/B testing. An MS in Data Science from UT Dallas, Ashish combines PySpark, Python, SQL, NLP, and Big Data tooling to turn complex, high-dimensional datasets into actionable decisioning systems. Based in Dallas/Austin, he pairs a knack for operationalizing models with a curiosity for user-facing product impacts—when not coding he plays guitar and follows cricket.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Data Science , Master of Science - MS Data Science at The University of Texas at DallasBachelor of Technology Electronics and Communications Engineering, Bachelor of Technology Electronics and Communications Engineering at Jaypee University of Information Technology
English, Hindi, Punjabi
Github Skills (28)
gestures9
keras-neural-networks9
convolutional-neural-networks8
live-video7
keras6
feed6
deep-learning5
camera5
machine-learning5
opencv5
javascript4
data-science4
nodejs4
chat4
tensorflow4
Programming languages (2)
Github contributions (5)
ashish1993utd/resume
Jul 2019 - Oct 2023
Contributions:93 pushes, 1 branch in 4 years 3 months
ashish1993utd/Sign-Language-Interpreter-using-Deep-Learning
Apr 2019 - Aug 2020
Contributions:46 commits, 44 pushes, 1 branch in 1 year 4 months
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