Rohit Gangupantulu
Applied Scientist at Amazon
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolRohit Gangupantulu is an Applied Scientist with nine years of experience building ML-driven solutions across NLP, computer vision, and security at Amazon and prior research roles. He blends production ML engineering—SageMaker, Lambda, Airflow, TensorFlow—with applied research on transformers and vision models, delivering secure, scalable systems for Amazon Security. His background spans startups and academia, where he shipped plant disease and supply-chain intelligence projects and implemented end-to-end pipelines using AWS, Flask/Django, and Postgres. Comfortable with both statistical modeling and modern deep learning, he has tackled problems from recommender systems and geometric DL to cybersecurity-driven text and image analysis. Based in Washington, DC, Rohit brings a pragmatic research-to-production mindset and a track record of translating novel models into robust, operational services. An often-overlooked strength is his cross-domain fluency—moving seamlessly between security, agriculture, and supply-chain use cases to find transferable ML solutions.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Applied Statistics and Computer Science, Bachelor of Science - BS, Applied Statistics and Computer Science at Penn State University
English, Telugu, Spanish
Github Skills (14)
machine-vision7
tensorflow5
machine-learning4
computer-vision4
census-data4
r-package4
demography3
api-client2
r2
image-annotation2
jekyll2
statistics1
ropensci1
database1
Programming languages (2)
Github contributions (5)
rgangu/dengAI-challenge
Jun 2017 - Sep 2019
Contributions:1 push, 1 branch in 2 years 3 months
rgangu/ezanalysis
Oct 2019 - Oct 2021
Contributions:2 pushes, 1 branch in 1 year 11 months
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