Summary
Rajesh Chawla is an ML systems and agent architect with over 30 years designing cloud, data, and ML systems at enterprise scale, and a founder who led a startup through acquisition. He architects production-ready ML solutions spanning threat and anomaly detection, NLP, reinforcement learning, and MLOps, and holds a patent for hybrid supervised/unsupervised automated threat detection. At Entanglement he continues to push agentic AI for autonomous response rather than passive alerts, blending research-grade models with hardened cloud infrastructure. His background ranges from building GPU-parallel reinforcement learning prototypes at Oracle to shipping cloud-native financial AI platforms at CraftingData, showing a rare mix of low-level systems engineering and product-led architecture. Based in Arvada, Colorado, he’s open to founder-level conversations and early-stage ML ventures, and is known for turning complex analytics research into deployable, revenue-driving systems. An often-overlooked strength is his decades-long experience integrating acquired tech into mature products, making him adept at post-merger technical consolidation.
8 years of coding experience
33 years of employment as a software developer
Bachelor of Science (B.S.) Computer Sci, Bachelor of Science (B.S.) Computer Sci at Mississippi State University
MS Computer Science, MS Computer Science at The University of Alabama
Hindi