Summary
Ravi Teja is a Senior Machine Learning Engineer with 10 years of experience building NLU, search, and recommendation systems at Apple, Zoom, and Microsoft. He currently works on open-domain question answering for Siri and has driven production ML features like meeting chapter title generation, query understanding for Bing, and session embeddings for autosuggest. Ravi blends strong academic foundations in computer science and mathematics (Georgia Tech, BITS Pilani) with hands-on engineering across large-scale services and distributed systems in cloud and VDI products. He is comfortable moving models from research to production—applying transformers, multitask learning, and self-supervised techniques—to solve real user-facing problems. An approachable engineer who’s worked across search, personalization, and infrastructure, he pairs deep algorithmic thinking with practical system design to optimize for latency and scale.
10 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master’s Degree, Computer Science, 3.83/4, Master’s Degree, Computer Science, 3.83/4 at Georgia Institute of Technology