Abhijeet Biswas
Applied Scientist II at Amazon
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAbhijeet Biswas is an Applied Scientist II with 9 years of experience applying deep learning and advanced ML to high-impact domains such as telecom, hospitality, healthcare, insurance, route optimization and computer vision. He has moved models from research to production at Amazon and Goldman Sachs after building end-to-end ML pipelines and interpretable XGBoost solutions at Deloitte, where he also cut vehicle routing solve time from an hour to under a second using transformer-based policy-gradient reinforcement learning. Trained as an aerospace engineer at IIT Bombay with a minor in Systems & Control, he blends rigorous systems thinking with practical data-science engineering. His background includes hands-on systems testing in aerospace and teaching linear algebra, giving him a strong foundation in both experiment-driven validation and mathematical rigor. Known for pragmatic model interpretability (SHAP) and scheduling/scoring systems for staffing, he thrives on translating complex, imbalanced business data into actionable products. Based in Hyderabad, he brings a rare mix of domain breadth, production ML experience, and control-systems intuition to solve optimization and forecasting problems.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Bombay
English, Bengali, Hindi, Assamese
Github Skills (2)
jekyll2
jekyll-theme2
Programming languages (1)
Github contributions (5)
AB2212/Data_Science_Practice
Mar 2017 - Jan 2020
Contributions:8 pushes, 1 branch in 2 years 10 months
AB2212/Udacity-Deep-Reinforcement-Learning-Project2
Jun 2020 - Jun 2020
Contributions:28 commits, 27 pushes, 1 branch in 1 day
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