Aditya Teja Vemuri

Executive Summary

Technical Project Manager with 14+ years of experience delivering digital solutions across Banking, Automotive, and Supply Chain & Logistics for Fortune 500 clients. Blend of hands-on engineering depth and project management discipline: detailed project planning, sprint execution (Agile, Scrum, SAFe), risk identification and prioritization, cross-functional coordination, and independent client communication with US-based stakeholders. Early adopter and internal champion of AI across the SDLC — embedding Generative AI (Claude Code, VS Code AI/GitHub Copilot) into planning, requirements analysis, development, code review, testing, and status reporting to raise team velocity and delivery quality.

• Led distributed, cross-cultural teams (engineers across 5 Indian states + US-based client stakeholders); drove weekly client calls and status reporting independently
• Delivered 10+ legacy modernization initiatives (Struts/Vaadin/desktop Java → Angular + Spring Boot microservices) with improved on-time delivery and reduced production defects
• SAFe 4 Agile Practitioner; hands-on with Scrum ceremonies, quarterly PI planning, and Azure DevOps-based tracking & reporting; working knowledge of Kanban principles

Core Competencies

AI Across the SDLC — Adoption & Impact

Championed and operationalized Generative AI adoption across every phase of the delivery lifecycle — as both a manager driving team-wide adoption and an individual contributor using AI tooling daily:

• Planning & Estimation: Use Claude to break epics into granular user stories, generate task breakdowns and dependency maps, and pressure-test sprint estimates — improving sprint predictability and PI planning accuracy
• Requirements & Analysis: Apply Gen AI to summarize client discussions, convert raw requirement notes into structured user stories with acceptance criteria, and surface ambiguities/edge cases before development starts
• Development: Built reusable prompt template libraries for generating Spring Boot service layers, Angular components, Jasper Report configurations, and migration scripts for Struts/Vaadin modernization — accelerating delivery on repetitive, pattern-heavy work
• Code Review & Quality: Integrated Claude into the PR workflow to pre-screen pull requests for anti-patterns, security vulnerabilities, and test-coverage gaps before human review — increasing review throughput while keeping engineers as the final quality gate
• Testing: Generate unit test suites (JUnit, Jasmine/Karma) and edge-case scenarios with AI assistance, raising coverage on modernized modules and reducing regression escapes
• Reporting & Communication: Use AI to draft weekly client status summaries, risk/dependency reports, and sprint retrospective insights from Azure DevOps data — freeing time for stakeholder engagement
• Team Enablement & Governance: Evangelized AI-assisted practices through internal knowledge-sharing sessions; defined usage guardrails (human review gates, data-sensitivity rules) so AI accelerates delivery without compromising code quality or client IP

Professional Experience

Earlier Experience: Innovapptive — Senior Consultant, Android (2016) · IBM India — Application Developer, Mobile, Client: SunTrust Bank (2014–2016) · Wipro — Project Engineer, Clients: Citi Bank, Marvel Vizio (2011–2014)

Key Achievements

Education & Certifications

• SAFe 4 Agile Practitioner Certification (2020)
• Generative AI, Prompt Engineering & Claude Code — advanced proficiency; active daily use in development and team workflows
• B.Sc. Biotechnology, Sreenidhi Institute of Science and Technology, Hyderabad (2007–2011)

Languages