Shailesh Mangal
I’ve been deep in build vs. buy decisions for AI-era platforms, especially where speed, control, and integration trade off against each other. Share the situation you’re weighing, and I can help think it through with you.
About
I'm a technology executive based in Santa Clara, California, and CTO at Decklar, where I lead engineering and AI for the Honeycomb platform: decision intelligence and agentic AI for IoT-driven, geo-intelligent supply chains. My team is distributed across the US and our office in Puebla, Mexico. I have 20+ years of experience building and scaling enterprise software and intelligent platforms. Before Decklar, I held leadership roles at Zephyr, including CTO / VP Engineering. What I work on day to day: - Driving agentic AI adoption across engineering, including MCP-based agent workflows and internal agentathons - Applied ML, such as fine-tuning models for shipment risk classification - IoT device lifecycle, fleet health, and battery diagnostics - Track-and-trace, ETA accuracy, and geospatial analytics for logistics and rail customers - Platform security and fine-grained access control on AWS - Build vs. Buy decisions in the AI era, which I also write about on LinkedIn Think before you do. Technical decisions are easier to justify when the goals, constraints, and tradeoffs are clear early. I prefer direct, outcome-focused conversations over buzzwords, and I care about mentoring early-career engineers.
Links
Qualifications & certificates
- MS, University of Texas (UT)
- BS, Malaviya National Institute of Technology (MNIT), Jaipur