Sathish B.
CTO & AI/Automation Architect at Edison and Madison Analytics Group
Austin, Texas, United States
About Sathish B.
Sathish B. is CTO & AI/Automation Architect at Edison and Madison Analytics Group. Location: Austin, Texas, United States.
"I turn regulated, statute-heavy problems into production software that holds up under audit, not demos." I'm an engineering and technology leader with 18+ years architecting and scaling enterprise platforms, AI/ML systems, and engineering organizations from the ground up. Inventor on 90+ granted U.S. patents in AI, machine learning, and automation, and two-time Dell Top Inventor across a 60,000-employee business unit. What I do Lead engineering organizations through full SDLC and agile delivery, from architecture through production operations. Design ML systems where explainability and defensibility are non-negotiable. Build and mentor high-retention engineering teams. Translate regulatory and statutory constraints into clean technical architecture. Where I've delivered impact Dell Technologies · Texas Health & Human Services Commission · Edison and Madison Analytics Group Selected achievements As CTO, architected a multi-tenant SaaS platform serving 22+ Texas county appraisal districts; designed per-county ML valuation models (XGBoost/Random Forest) with SHAP explainability and a dual-output architecture built to satisfy Texas Tax Code requirements. Filed a USPTO patent on the core algorithm. Built and led three engineering teams (25+ engineers) at Texas HHSC delivering 3 enterprise scale applications to 5M+ residents at 99.98% uptime; recruited top-talent and setup helpdesk and contact center ground up. Led Dell.com's global eCommerce platform Operations (80+ engineers, $3B+ annual revenue, 100+ countries) at 99.99% uptime; modernized legacy monoliths into microservices. Led Dell's AI Ops transformation (Moogsoft, Kafka, Spark), cutting MTTR 35% and false alerts 45% across a 60,000-employee IT environment. Chaired Dell's enterprise IP program; scaled a Design Thinking program to 2,000+ employees; mentored 100+ first-time inventors. Core focus ML system architecture (XGBoost, Random Forest, SHAP) · Engineering leadership & team scaling · Cloud platforms (AWS, Azure) · Regulated/compliance-heavy platform delivery · Technical strategy & roadmap ownership What drives me Building systems that are defensible, not just impressive, where explainability and reliability matter as much as capability. Open to conversations on engineering leadership, AI/ML platform strategy, and technology transformation roles.
Skills
Additional experience
Information Technology Engineering Manager
State of Texas
Started April 2023
