• Designed and built a multi-agent system that orchestrates workflows across internal CI/CD, version control, and ticketing tools via a unified LLM interface

• Implemented a supervisor agent that routes requests to specialized subagents for tasks such as environment provisioning, code reviews, testing, and workflow automation

• Created reusable agent “personas” that encapsulate complex workflows, significantly expanding system capabilities and adoption

• Standardized tool descriptions and prompt patterns to improve tool selection accuracy and system reliability

• Built structured outputs, evaluation pipelines, and golden datasets to measure and improve model performance

• Developed observability and analytics systems using LangSmith, Mixpanel, and internal data sources to track adoption, performance, and system health

• Upgraded core AI infrastructure and maintained model integrations to leverage latest capabilities

Developer Productivity & Platform Impact:

• Reduced CI/CD pipeline times by ~40%

• Improved local build performance by up to 80% (NX monorepo optimizations)

• Reduced unnecessary CI workloads by ~70% via diff-based build/test strategies

• Built shared libraries and data models (Pydantic) to standardize contracts across services

Leadership & Influence:

• Led design of core features including agent personas, prompt systems, and workflow orchestration patterns

• Mentored engineers and contributed to team growth and adoption of AI-driven development practices

• Partnered with product in a highly ambiguous space to shape direction and accelerate delivery using AI-assisted workflows

• Designed and developed a scalable scheduling API and user interface, achieving 100% test coverage from planning through deployment.

• As team lead, enhanced team processes to facilitate more agile deployments and improve communication, including: comprehensive process and API documentation, optimized VQA procedures, streamlined onboarding for new developers, and actionable insights in sprint retrospectives.

• Conceived and delivered a two-part presentation to enhance workplace communication and collaboration.

• Designed and implemented the data collection solution for the primary B2C software, creating data infrastructure for the Data Science team to help prioritize future development and analyze customer behavior.

• Redesigned the component structure of a multi-page form with over 500 fields, successfully eliminating a 74ms input delay and significantly improving user responsiveness and experience.

• Created and implemented a comprehensive validation system for all form input fields, which enhanced data consistency and provided a smoother user interaction.