Summary
Ramith Padaki is a Principal Software Engineer with 11 years of experience building AI-native systems at the intersection of information retrieval, natural language understanding, and cybersecurity. He has led multi-disciplinary teams through petabyte-scale data platforms, high-throughput event pipelines, vector DB-driven retrieval, and LLM-powered agents—most recently driving ML/AI initiatives at Balbix and Safe Security before joining Qualys. Comfortable moving from deep technical design to people leadership, he mentors engineers while architecting production-grade inference, analytics, and explainability features that operate on billions of events. His background blends rigorous IR research from Carnegie Mellon with hands-on production experience at Amazon, enabling practical solutions for search, relation extraction, and large-scale crawling. Based in San Jose, he’s equally at home debating model trade-offs or optimizing streaming deduplication, and is known for turning research ideas into operational telemetry and actionable security workflows.
11 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Intelligent Information Systems - Advisor: Prof. Jamie Callan, Master of Science - MS Intelligent Information Systems - Advisor: Prof. Jamie Callan at Carnegie Mellon University
English, Kannada, Hindi