Summary
Avinash Kadimisetty is a Senior Machine Learning Data Engineer with 11 years of experience, currently building ML-driven User Home prediction systems at Meta. He blends strong academic grounding—a 4.0 MS in Computer Science from UIUC and a top-ranked BTech—with hands-on production experience in large-scale ML, data engineering, and feature engineering across advertising, healthcare, and identity-matching domains. At Meta he moved from account-matching to personalization, demonstrating an ability to translate research-grade models into robust, user-facing pipelines. Earlier roles include impactful data-science work that reduced healthcare costs by millions and a Yahoo internship where his analytics product cut sales prep time by 70% and earned contest recognition. Based in Sunnyvale, he combines deep technical craft with a penchant for measurable business impact and practical tooling. Notably, his background spans both model development and the data infrastructure that keeps models performant at scale.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Engineering, 9.35/10 CGPA, Bachelor of Technology - BTech, Computer Engineering, 9.35/10 CGPA at Indian Institute of Information Technology Design & Manufacturing Kancheepuram
University of Illinois Urbana-Champaign
Kannada, Tamil, Hindi, Telugu, English