Pratap Dangeti
Technical Architect - Agentic AI at WinWire
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolPratap Dangeti is an AI/ML leader and technical architect with over 16 years of experience delivering production-grade ML, deep learning, and agentic AI solutions that drove $20–25M in value at Koch. He blends operations research and advanced ML—having co-developed MILP schedulers, forecasting engines, and Text-to-SQL RAG-based multi-agent systems with ~95% validation accuracy—to turn complex business problems into measurable outcomes. Comfortable from research to deployment, he has filed a patent in automated hyperparameter tuning, authored books on ML/DL, and led cross-functional teams while promoting a culture of continuous learning. Now building Agentic AI systems at WinWire, he pairs hands-on expertise in transformers, LangChain-style toolkits, and cloud MLOps with practical experience in manufacturing and supply-chain analytics. An IIT Bombay-trained OR specialist, Pratap’s background in both classical optimization and modern generative AI gives him a rare ability to design hybrid solutions that balance rigor, scalability, and business impact.
10 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology BombayB.Tech Mechanical Production and Industrial Engineering, B.Tech Mechanical Production and Industrial Engineering at GITAM College of Engineering (Andhra University)
Github Skills (8)
python9
machine-learning9
pytorch9
deep-learning8
data-science8
tensorflow8
jax7
neural-network6
Programming languages (1)
Github contributions (5)
Pratapdangeti/Statistics_for_Machine_Learning
Aug 2017 - Jun 2020
Contributions:10 commits, 9 pushes, 1 branch in 2 years 9 months
Pratapdangeti/Machine_Learning-Python_ScikitLearn
Sep 2015 - Jan 2020
Contributions:3 commits, 2 pushes, 1 branch in 4 years 4 months
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