Sai Rallabandi

Director Of Data Science

Austin, Texas Metropolitan Area United States
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Summary

👤
Senior
🎓
Top School
Sai Rallabandi is a Director of Data Science based in Austin with nine years of experience applying advanced machine learning and large language models to business problems at Fidelity Investments. He progressed from Senior Data Scientist to director while bringing a research-oriented background—holding a PhD and Master's in Computer Science from Carnegie Mellon—to productionizing models at scale. Sai combines deep technical rigor from academia with hands-on product delivery, frequently exploring LLM applications across finance and enterprise workflows. His early analytics work on Google Maps and multidisciplinary engineering training reflect a knack for turning complex spatial and signal data into actionable insights. Colleagues describe him as a builder who prefers shipping prototypes rapidly and iterating with users to unlock practical value from cutting-edge AI.
code9 years of coding experience
bookMaster's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at International Institute of Information Technology Hyderabad (IIITH)
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University School of Computer Science
bookBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at NRI Institute of Technology
languagesHindi, Telugu, English
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Github Skills (47)

audio10
voice10
speech10
portable9
speech-synthesis9
speech-to-text9
synthesis9
mojo9
speech-recognition8
phonetics8
dynet8
temporal-data7
pytorch-lightning7
ray6
nodes5

Programming languages (7)

JavaShellC++CJavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:46 commits, 44 pushes, 1 branch in 3 months
Contributions:15 commits, 31 pushes, 2 branches in 5 months
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Sai Rallabandi - Director Of Data Science