Experience

Designed an AI-driven system to modernize legacy mainframe applications using autonomous agent orchestration.

• • Architected agentic AI workflows to automate documentation, code conversion, and orchestration of legacy systems
• • Implemented autonomous agent orchestration for code documentation, code conversion, and workflow decision-making
• • Established integration patterns for AI-enabled SDLC pipelines
• • Reduced manual effort and enabled scalable, repeatable modernization

Built an example multi-agent system demonstrating autonomous, human-in-the-loop engineering workflows.

• • Designed multi-agent coordination across architect, coder, and reviewer roles
• • Implemented autonomous planning, implementation, and review loops with human-in-the-loop control
• • Built reusable AI accelerators and templates adopted across teams
• • Used the framework to educate teams on agentic engineering patterns

Led prototype-driven engagements to validate future-state, AI-enabled architectures.

• • Delivered "prototype-in-a-day" engagements to accelerate stakeholder alignment
• • Helped stakeholders visualize AI-enabled solutions early to de-risk architecture decisions
• • Accelerated decision-making and contributed to downstream project expansion
• • Introduced fail-fast engineering and experimentation practices

Led development of enterprise application suites across web and mobile.

• • Built enterprise application suites with React, React Native, and Node.js
• • Established state management standards and architecture consistency
• • Delivered systems enabling efficient business operations and workflows
• • Owned delivery across multiple concurrent workstreams

Built reusable component frameworks and scalable frontend architectures.

• • Built reusable component frameworks and scalable frontend architectures
• • Implemented automated testing strategies and design system standards
• • Enabled experimentation and extensibility across product teams