Pralay Ramteke

Senior Staff Machine Learning Engineer at Palo Alto Networks

Bengaluru, Karnataka, India
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Summary

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Senior
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Top School
Pralay Ramteke is a Senior Staff Machine Learning Engineer at Palo Alto Networks with 11 years of experience building production ML and data systems across security, healthcare imaging, and commerce. He holds an MS in Data Science and NLP from UT Austin and a B.Tech in Computer Science from IIT Patna, and has a strong track record of applying transfer learning and attention-based NLP models to real-world problems. As a founding engineer at ChironX he developed multi-label fundus image models and a low-bandwidth image sync pipeline, and earlier work at IIT Patna produced a 4-million-sentence medical dataset and entity-severity models. He combines hands-on engineering—shipping annotation platforms, high-throughput deployments, and cloud data pipelines—with mentoring experience from Google Code-In, reflecting a blend of research depth and pragmatic product delivery. Based in Bengaluru, he enjoys tackling business challenges where ML and data engineering meet clinical or enterprise impact.
code11 years of coding experience
job6 years of employment as a software developer
bookJunior High/Intermediate/Middle School Education and Teaching, 92%, Junior High/Intermediate/Middle School Education and Teaching, 92% at Delta Junior College
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at The University of Texas at Austin
bookBachelor of Technology (B.Tech.), Computer Science, 3.3/4.0, Bachelor of Technology (B.Tech.), Computer Science, 3.3/4.0 at Indian Institute of Technology, Patna
languagesEnglish, Hindi, Marathi
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Github Skills (32)

emr10
health10
web-application10
rap10
java10
alfresco10
api10
mhealth10
j2ee10
openmrs9
prediction8
classification7
nlp6
migrate6
data-analysis6

Programming languages (3)

JavaJupyter NotebookPython

Github contributions (5)

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Contributions:25 pushes, 1 branch in 7 years 4 months
Contributions:109 pushes, 13 branches in 4 months
openmrsopenmrs-module
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