JPMorgan Chase

• Owned the end-to-end development of an AI-powered internal developer assistant that automates engineering workflows through natural language interactions.
• Designed and implemented 5 AI agents using Python, prompt engineering, MCP integrations, and enterprise API orchestration.
• Built agentic workflows to automate end-to-end testing, validate API behavior, and streamline access to internal developer tools.
• Created evaluation frameworks using Bruno to test agent behavior, API routing, and LLM-to-tool interactions for production readiness.
• Partnered with engineering leadership to deliver AI demos, technical documentation, and enablement sessions for 15+ engineers.

Accenture Federal Services

• Built a cross-cloud, event-driven AI pipeline integrating AWS S3, SQS, Lambda, GCP Cloud Storage, Vertex AI, Bedrock agents, and Gemini models.
• Developed a full-stack Synthetic Data Generator using Python and Next.js, enabling teams to generate ML/OCR test data without manual scripts.
• Engineered 6+ production AWS Lambda functions for distributed data processing, reducing workflow latency and manual intervention by 76%.

People Tech Group

• Built custom AWS AppFlow and Lambda-based integrations for GitHub and Workday, automating enterprise data synchronization and workflow management.
• Collaborated with cross-functional engineering teams to design secure, scalable connector workflows for enterprise application integrations.