Summary
Titas D is an Applied Scientist with a decade of experience building ML-driven products across e-commerce, health tech, and fintech, currently leading applied research and productization at Implant Intelligence. He combines hands-on engineering—architecting recommendation engines, knowledge graphs, and algorithmic trading systems—with strong experimental rigor demonstrated by sleep-stage and stress-detection models that rival state-of-the-art performance. Titas has a track record of moving startups from prototype to funded MVPs within months and has led teams to integrate LLMs as teaching assistants and deploy hybrid recommender systems to real users. His background spans founding CTO roles, ML research at the University of Florida, and leadership positions where he translated causal inference and image understanding into actionable business strategies. Comfortable across the stack, he blends product intuition with academic methods to deliver measurable impact on engagement and retention. An uncommon strength is his ability to tailor diverse AI techniques to domain-specific KPIs—whether loyalty, recovery insights for athletes, or news personalization—rather than chasing models for their own sake.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Sathyabama University
St. Joseph's Boys' High School
Master of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at University of Florida
Bengali, Hindi, English