> Own and lead deployment of large-scale, enterprise AI initiatives, acting as the technical owner for high-impact client programs from architecture through production.

> Drive organization-level architecture decisions for multi-agent systems, standardizing patterns used across client deployments to improve reliability and scalability.

> Mentor and guide Forward Deployed AI Engineers, setting technical direction and raising the bar on solution quality and delivery velocity.

> Serve as the primary technical partner for strategic clients and internal stakeholders, directly influencing roadmap decisions through real-world deployment feedback.

> Lead complex, cross-functional projects, coordinating product, engineering, and client teams to deliver production-grade AI systems.

> Led end-to-end deployment of Supervity’s AI Employees for enterprise clients, from discovery and solutioning to production rollout and optimization.

> Designed and implemented scalable multi-agent architectures, reducing idea-to-production time by ~60% across client deployments.

> Acted as the technical bridge between clients and the product team, translating business goals into production-ready AI systems.

> Partnered closely with sales and product to scope solutions, support enterprise engagements, and shape early product direction.

> Built foundational multi-agent architectures used in early client deployments, streamlining data workflows and sales research pipelines.

> Took ownership of client-facing initiatives through strong technical execution and communication, accelerating transition into a full-time deployment role.

> Co-founded and contributed to the Supervity AI Agents Academy, creating structured content to enable developers and improve AI literacy internally.

Leading community engagement and technical workshops focused on Google Cloud, AI, and developer education. Responsible for strategic initiatives that drive learning outcomes and mentor growth.

Developed a Generative AI–powered discussion board for collaborative knowledge exchange and contributed to a COVID-19 simulation interface using Streamlit and Docker.