Vineeth Kumar Chinnamu
Enterprise Integration Architect | Mulesoft | Performance & Scaling | AWS | AI-Enabled Integration | Trusted Advisor
- Role
- Senior Lead Software Engineer Mulesoft Integration Architect at Grange Insurance
- Location
- Columbus, OH, US
- LinkedIn followers
- 500 followers
About Vineeth Kumar Chinnamu
Enterprise Integration Architect with 14+ years of experience designing and optimizing large-scale API and integration ecosystems across hybrid environments.I specialize in API-led architecture, performance tuning, DevOps maturity, and governance excellence within the MuleSoft Anypoint Platform. I’ve architected and optimized platforms supporting 500+ MuleSoft applications across on-prem and CloudHub 2.0 environments.I partner with enterprise architects and senior technology leaders to:• Evaluate and optimize integration architectures• Improve performance, scalability, and reliability• Establish API governance and best practices• Accelerate CI/CD and DevOps maturity• Guide hybrid cloud modernization strategiesI also focus on Enterprise AI Enablement through API-Led Architecture, operationalizing AI and ML platforms through secure, scalable integration patterns and AI-assisted development practices.My goal is to help organizations build resilient, future-ready integration platforms aligned with long-term business outcomes.
Experience
Senior Lead Software Engineer Mulesoft Integration Architect
Jul 2024 — Present · Columbus, OH, US
Serve as enterprise MuleSoft subject-matter expert across 500+ applications supporting mission-critical insurance systems.• Conduct architecture evaluations and performance assessments to identify optimization opportunities in scaling, DevOps, and governance practices.• Led runtime modernization (4.2.2 → 4.9.9) and Java upgrades eliminating end-of-support risks and reducing security vulnerabilities.• Spearheaded hybrid cloud migration to CloudHub 2.0 improving scalability and operational resilience.• Implemented centralized observability and performance tuning strategies reducing MTTR by ~30%.• Established API governance frameworks improving reuse by ~35% and reducing duplicate development efforts.• Accelerated release velocity by ~40% through CI/CD automation.• Mentor and guide engineering teams on MuleSoft best practices, security, and enterprise architecture principles.Enterprise AI Enablement:• Represent IT in enterprise AI committee driving responsible AI adoption strategy.• Delivered executive-level demos on MuleSoft Dev Agent and AI-assisted development workflows.• Championed GitHub Copilot adoption increasing developer productivity by 20–30%.• Integrated MuleSoft APIs with AI platforms (Databricks, Salesforce Einstein) to enable intelligent workflows.
Education
Sri Chaitanya College of Education
Intermediate, MPC
2005 — 2007
New York Institute of Technology
Master's degree, Computer Science
2014 — 2016
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech, Computer Science
2007 — 2011
Atomic Energy Central School, Manuguru
High School
1996 — 2005
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