MLDS speaker · 2026
Sreekanth Iyer
Lead Architect | Open Group Distinguished Architect | IBM Master Inventor | AI/ML Engineer | Author | Faculty
About Sreekanth Iyer
Sreekanth Iyer is a technology leader and AI/ML practitioner with 28+ years of experience building strategic engineering teams and infusing AI/ML into mission-critical SaaS platforms. He currently works on architecture and innovation for Verint’s engagement data hub and insights platform, focusing on scalable, secure, and observable systems, infusing LLM-enhanced search, contextual QA bots and data governance. Previously, he served as Principal Architect for Apptio Cloudability and drove the modernization of the platform to be deployed a Kubernetes platform. He has spent 22 years at IBM across cloud security, hybrid cloud advisory, and enterprise architecture roles. He is an IBM Master Inventor with 60+ patents (86+ disclosures), Sreekanth is also a guest faculty with BITS Pilani (WILP) and teaches Cloud Economics (FinOps), MLOps, and Cyber Security.
1 edition on the MLDS stage · 1 session on record

Talks at MLDS
Sessions from the MLDS agendas, newest first.
MLDS 2026
Bengaluru
26–27 Mar 2026Mar 27, 2026 · 12:10–12:40 · Hall 1 · Bengaluru
Keynotes / Tech TalksFrom Singleton to Swarm: Patterns and Spec-Driven Delivery for Agentic AI
Most AI initiatives fail not because the model is weak, but because teams lack a shared, reusable pattern language that turns experimental wins into production systems.This session distils three decades of engineering into 8 eras and 300+ patterns — showing how each technology wave (structured programming, OOP/GoF, SOA/events, cloud/microservices, cloud security, AI/ML, and now agentic AI) accelerated once solutions were named, standardised and made communicable. Attendees will learn the core pattern families behind production-grade agentic systems: reasoning, memory (RAG), tool use (ReAct), orchestration and enterprise safety controls including human-in-the-loop gates. The session concludes with a live Spec-Driven SDLC demo — where the spec acts as the contract coordinating a multi-agent delivery pipeline, from architecture through deployment. The talk closes by connecting the methodology to BITS Pilani Digital's AI Engineering & MLOps programmes, demonstrating how industry–academia partnerships enable learners to apply these patterns to real-world problems and move from prototypes to production with engineering rigour.
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