Monica Vedhanayagam
@monicavedhanayagam
Agile Scrum Master with 9+ years improving SDLC efficiency and release predictability.
What I'm looking for
I’m an Agile Scrum Master and engineering leader with 9+ years of experience driving SDLC efficiencies for cross-functional teams in high-scale, global environments. I specialize in Scaled Agile (SAFe), Kanban, and Lean, facilitating Scrum ceremonies and leveraging Jira/Confluence administration to improve delivery outcomes—like increasing Team Velocity by 25% and reducing Cycle Time through data-driven bottleneck analysis.
In my recent role, I facilitated quarterly Program Increment (PI) Planning for an Agile Release Train of 125+ members and helped align 12 cross-functional squads to strategic OKRs, achieving a 90% Program Predictability Measure. I also led a “Quality First” initiative by introducing 20% Technical Debt allocation per Sprint, reducing production incidents by 35% over six months, and I’ve delivered mission-critical systems such as a Payment Fraud Detection platform (mitigation rate: 100%) and robust automated QA for high-fidelity releases.
Experience
Work history, roles, and key accomplishments
Facilitated quarterly PI Planning for an Agile Release Train of 125+ members, aligning 12 cross-functional squads to organizational OKRs and delivering a 90% program predictability measure. Introduced a Quality First initiative by allocating 20% technical debt per sprint, reducing production incidents by 35% over six months.
Improved team delivery efficiency by 30% by strengthening Agile ceremonies and synchronization rituals while monitoring sprint health via Jira/Confluence dashboards. Built an Angular/Node.js/Java payment fraud detection system and deployed AI-driven identity verification controls with a 100% mitigation rate for identified fraud vectors.
Developed an intelligent collateral allocation platform using algorithmic suggestions to optimize client investment portfolios and delivered award-winning APIs for automated collateral management and liquidity solutions. Reduced frontend latency by 40% through refactoring and modular lazy loading, while cutting production defects by 25% with full unit test coverage and increasing user interaction
Modernized legacy systems into a modular, high-performance architecture using Angular and Spring Boot while supporting a 1M+ user platform across treasury, capital markets, and data analytics. Reduced application latency by 20% through code refactoring and JavaScript modernization, meeting revenue-generating milestone delivery in an Agile environment.
Migrated legacy JSP interfaces to AngularJS, improving front-end performance and maintainability. Built production-ready backend services with Java, Spring Boot, and SQL, and improved codebase reliability by 25% through standardized peer reviews and targeted refactoring.
Education
Degrees, certifications, and relevant coursework
K. Ramakrishnan College of Technology
Bachelor of Engineering, Computer Science
Completed a Bachelor of Engineering in Computer Science at K. Ramakrishnan College of Technology under Anna University, Chennai.
Birla Institute of Technology and Science, Pilani
Master of Technology, Data Science and Engineering
Completed a Master of Technology in Data Science and Engineering at BITS Pilani.
Scrum.org
Professional Scrum Master (PSM I), Agile/Scrum
Earned the Professional Scrum Master (PSM I) credential from Scrum.org.
Scaled Agile, Inc.
SAFe Agilist 6.0, Scaled Agile (SAFe)
Earned the Certified SAFe Agilist 6.0 credential from Scaled Agile, Inc.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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