Summary
Tilan Ukwatta is a Chief Technology Officer and AI/ML platform architect with 12 years of experience building cloud-native data platforms, real-time inference systems, and production-grade MLOps for industrial and government customers. He holds a PhD in Physics/Astrophysics and leverages a research background in astrophysical transients to extract signals from massive, multi-source datasets and design novel feature extraction and anomaly detection methods. As co-founder/CTO at Panalyticsai and NAVA Analytics and now leading the Apaluma Agentic Platform, he specializes in end-to-end pipelines, RAG systems, knowledge graphs, and agentic AI that turn paper and high-frequency sensor streams into actionable insights. He has a track record of shipping scalable systems—such as the Hyperpack model deployment framework—and building analytics for 800+ real-time sensors in gas compression and environmental records for government decision-makers. Known for blending deep research rigor with product-focused engineering, he also brings hands-on experience across Azure, Databricks, PySpark, and embedded C/C++ systems from his earlier observatory and instrumentation work. Based in Albuquerque, he uniquely bridges astrophysics-derived signal discovery techniques with practical industrial AI deployments.
12 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics/Astrophysics, Doctor of Philosophy (Ph.D.) Physics/Astrophysics at The George Washington University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Colombo
Sinhalese, English