Chetan Krishnappa

About Chetan Krishnappa

I build and scale enterprise AI platforms that move from experimentation to industrialized impact.Over 25+ years, I’ve led global transformation programs across telecom, digital services, and enterprise portfolios — delivering millions in business value and turning AI from pilot initiatives into production-grade, revenue-generating capabilities.At Ericsson, I lead AI/ML and GenAI programs powering telecom-grade platforms across revenue assurance, customer experience, and network intelligence domains. I drive:• End-to-end AI platform roadmaps• MLOps lifecycle operationalization on Kubernetes• GenAI integration (LLMs incl. Mistral & OpenAI)• Industrialization of 15+ AI use cases• Cross-functional alignment across product, engineering & leadershipMy strength is execution at scale — not just building models, but building operating models around AI.Previously at IBM, I delivered $42M+ transformation programs, scaled DevOps across 375+ projects, and drove automation savings exceeding $2.5M annually.I operate at the intersection of:AI Strategy × Platform Engineering × Business Value Realization.

Experience

1. Program Manager - Aiml

   Ericsson

   Oct 2021 — Present

   Lead enterprise-scale AI platform strategy and industrialization across global telecom business units, transforming AI pilots into production-grade, revenue-impacting systems.Strategic Ownership• Own AI/ML platform roadmap across Revenue Assurance, Customer Experience, and Network Intelligence domains• Drive GenAI adoption strategy integrating custom LLMs (Mistral, OpenAI) into enterprise workflows• Establish AI governance framework covering explainability, drift detection, model lifecycle controls, and compliancePlatform & MLOps Leadership• Operationalized full MLOps lifecycle (data ingestion → training → validation → explainability → drift monitoring → serving) on Kubernetes• Standardized AI deployment architecture enabling scalable, repeatable use case rollout• Accelerated AI deployment velocity by 25% through agile delivery optimizationBusiness Impact• Industrialized 15+ AI/ML use cases from concept to enterprise production• Reduced ticket resolution time by 30% via GenAI-powered summarization and intent recognition• Delivered $2.5M+ in annual automation savings• Enabled real-time operational insights via dashboards, APIs, and automated alertingCross-Functional Leadership• Lead cross-disciplinary teams spanning product, engineering, data science, DevOps, and business stakeholders• Align executive leadership with measurable AI ROI outcomes• Transition high-value pilots into scalable global deployments

Education

• Madurai Kamaraj University

  Master of Business Administration - MBA

• Bangalore University

  Bachelor's degree

Skills

• Strategy
• Requirements Analysis
• Pre-Sales
• Program Management
• Team Management
• Vendor Management
• Business Process
• Software Project Management
• Agile Methodologies
• Sql
• Sdlc
• Solution Architecture