Hemanth Velaga

ML Engineer @ Apple | Search & Ranking | NLU | LLM-based Retrieval | Conversational & Agentic Search

Role
Senior Machine Learning Engineer at Apple
Location
Seattle, WA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Hemanth Velaga

I’m a Machine Learning Engineer at Apple, working on large-scale Search & Ranking systems across Apple’s media platforms — including the App Store, Music, TV, Books, Podcasts, Fitness+, and Sports.My work focuses on advancing Information Retrieval, Natural Language Understanding, and LLM-based Retrieval techniques to deliver high-quality, context-aware search and discovery experiences.I’m particularly interested in Conversational and Agentic Search systems and the application of Retrieval-Augmented Generation (RAG) and LLM orchestration to real-world information access problems.I’m passionate about bridging the gap between applied ML engineering and modern IR research, and contributing to the evolving field of AI-powered search systems that understand intent and reasoning at scale.

Experience

  1. Senior Machine Learning Engineer

    Apple

    Mar 2022 — Present · Seattle, WA, US

    Apple Media Products(App Store, Apple Music, Podcasts, AppleTV, Books, Fitness+, Sports) AI/ML Search Engineering

Education

  • Chaitanya Bharathi Institute Of Technology

    Bachelor's degree, Information Technology

    2014 — 2018

  • The University of Texas at Dallas

    Master's degree, Computer Science

    2018 — 2020

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Hemanth Velaga — Senior Machine Learning Engineer at Apple in Seattle, WA, US | Unifers