Vetri Selvan
Engineering Leader & GenAI Practitioner | Cloud-Native · Agentic AI · Distributed Systems | Scaling High-Performance Teams
- Role
- Senior Engineering Manager at A.P. Moller - Maersk
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Vetri Selvan
I build high-performance engineering organisations that deliver at scale. With 20+ years of experience across logistics, gaming, and semiconductor domains, I specialise in translating business priorities into engineering execution — modernising legacy platforms, scaling distributed systems, and growing the teams that power them. Currently at A.P. Møller – Maersk, I\'m leading cloud modernisation initiatives that have scaled our platform to 25+ consumers at sub-second latency, achieved 99.5% uptime, and reduced time-to-market by 15%. More recently, I\'ve been building Agentic AI solutions to automate business metrics and clear technical debt — practical AI that drives real outcomes. Before Maersk, I spent seven years at Scientific Games scaling a distributed Lottery Management system from greenfield to terminals across multiple geographies, and built a Data Science team delivering player recommendation models and sales prediction engines. Prior to that, at Bally Technologies, I led the deployment of hardware units across South Africa and secured a hosted casino platform serving concurrent players. What drives me is the intersection of people, architecture, and outcomes. I believe great engineering culture — built on clarity, accountability, and continuous learning — is the real competitive advantage. Certified in Leadership Principles, Organisational Leadership (Harvard Business School) Certified in AI/ML, RL (Stanford & University of Texas) Tech: AWS · GCP ·.NET Core · Python · Kafka · Docker · Microservices · AI/ML. iOS Currently exploring roles where engineering excellence and business impact go hand in hand.
Experience
Senior Engineering Manager
Dec 2023 — Present · Bengaluru, IN
25+ Consumers Onboarded — successfully modernised legacy systems into cloud based, scaling the platform to serve 25+ consumers with sub-1-second average latency.• 15% Faster Time-to-Market — defined a clear product roadmap, standardised delivery patterns, and introduced outcome-oriented planning frameworks, reducing mean cycle time significantly.• 99.5% Platform Uptime — engineered multi-region redundancy and real-time alerting pipelines, achieving and sustaining 99.5% SLA across production environments.• 24×7 Support Capability Built — established L1/L2 support functions from scratch with a vendor partner, delivering continuous training programmes and runbooks enabling round-the-clock operations.• AI-Driven Innovation — pioneered Agentic AI solutions for automated business metrics generation and Developer Agents to autonomously identify and retire technical debt.
Education
Thiagarajar College of Engineering
MCA, Computer Science
2000 — 2003
Harvard Business School
Certificate in Leadership Principles, Organizational Leadership
2019 — 2019
Great Lakes Institute of Management
Post Graduate Program in Artificial Intelligence and Machine Learning, Artificial Intelligence
2020 — 2021
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