• Design, develop, and scale agentic AI systems using Google Agent Development Kit (ADK), ensuring enterprise-grade performance, security, and scalability. • Architect and implement multi-agent workflows, tool orchestration, and stateful conversational systems integrated with Dialogflow CX/ES. • Develop production-grade Python services (FastAPI, Flask, or equivalent) to support middleware, APIs, and enterprise integrations. • Design and deploy scalable solutions on Google Cloud Platform (GCP), leveraging services such as CCAI, Cloud Run, Cloud Functions, Pub/Sub, and BigQuery. • Implement advanced prompt engineering strategies, NLP/NLU best practices, context management, and robust error handling to optimize conversational experiences. • Integrate conversational agents with enterprise platforms (CRM systems, contact centers, databases) while ensuring observability through logging, monitoring, and performance optimization. • Provide technical leadership through architecture reviews, mentorship, best-practice enforcement, and cross-functional collaboration with product, DevOps, and business stakeholders.

• Design and deliver end-to-end data center solutions covering compute, storage, and networking • Deploy and manage GPU-based systems (NVIDIA DGX, HGX, or similar) for AI and HPC workloads • Implement and support virtualization platforms (VMware ESXi, vCenter, vSAN, NSX) • Build and manage containerized environments using Kubernetes or related platforms • Automate infrastructure provisioning and operations using Ansible, Terraform, or scripting (Bash/Python) • Conduct infrastructure assessments, capacity planning, and performance tuning • Work closely with networking, storage, and DevOps teams to ensure smooth integration and delivery • Create and maintain technical documentation for customer and internal team

• Define the Standard: Establish technical and operational frameworks for solar + storage, fire safety, and water usage in next-gen data centers. • Drive the Narrative: Reframe solar as critical infrastructure for national security and economic competitiveness. • Build the Coalition: Engage directly with Frontier AI labs, hyperscalers, and energy experts to move solar-first design from concept to pilot. • Navigate Siting: Work with federal and local authorities to define permitting pathways for industrial and public land (e.g., BLM). • Publish the Manifesto: Author and gain external validation for a "Data Center Manifesto" defining best practices for the industry.

• Design, develop, and scale agentic AI systems using Google Agent Development Kit (ADK), ensuring enterprise-grade performance, security, and scalability. • Architect and implement multi-agent workflows, tool orchestration, and stateful conversational systems integrated with Dialogflow CX/ES. • Develop production-grade Python services (FastAPI, Flask, or equivalent) to support middleware, APIs, and enterprise integrations. • Design and deploy scalable solutions on Google Cloud Platform (GCP), leveraging services such as CCAI, Cloud Run, Cloud Functions, Pub/Sub, and BigQuery. • Implement advanced prompt engineering strategies, NLP/NLU best practices, context management, and robust error handling to optimize conversational experiences. • Integrate conversational agents with enterprise platforms (CRM systems, contact centers, databases) while ensuring observability through logging, monitoring, and performance optimization. • Provide technical leadership through architecture reviews, mentorship, best-practice enforcement, and cross-functional collaboration with product, DevOps, and business stakeholders.