About Benjamin Gorman

Cloud Infrastructure & AI Platform Engineering I am a high-impact technical leader with 15+ years of experience driving 0-to-1 infrastructure scaling and building high-performing engineering teams within complex, distributed environments. My career is defined by an ability to translate ambiguous strategic bottlenecks into high-velocity operational outcomes, having successfully driven technical execution that captured $14M+ in operational scaling efficiency and $18M in savings via applied AI integrations.

As a strategic partner to executive leadership, I specialize in balancing global resource capacity with engineering velocity—stripping away process bloat through data-driven risk management, automated workflows, and a relentless focus on high-availability architecture.

Strategic Leadership & Global Execution My professional portfolio is anchored in leading large-scale distributed systems programs that scale infrastructure and drive revenue:

• High-Throughput Network Upgrades: Orchestrated a strategic network modernization for a $1B market cap blockchain (Vaulta), managing complex consensus hard forks while ensuring 100% liquidity continuity and zero-downtime across global exchanges.

• Enterprise AI & Automation: Architected the requirements and integration pipelines for applied ML and Conversational AI platforms, delivering $18M in operational efficiency by reducing service desk volumes by 83%.

• High-Scale API Architecture: Established API frameworks and predictive analytics to support enterprise infrastructure for 160M+ users in highly regulated environments (Federal Reserve, DHS).

Vision Behind Un-Masked AI

Co-created and launched a 0-to-1 applied AI/ML curriculum designed to help operations leaders move past hype and execute practical, low-friction AI integration. Partnering with executive leadership (Jeff Werner) on the strategic framework, I architected the end-to-end production pipeline.

To execute this, I utilized advanced prompt engineering and a multi-modal GenAI tech stack—including Google AI Studio, Gemini, Claude, NotebookLM, ElevenLabs, and Veo—to rapidly generate, synthesize, and scale the course material.

Technical & Operational Highlights:

• Applied AI Chatbot Architecture: Designed and built a functional AI Ethics & Legal Chatbot to demonstrate real-time LLM compliance safeguards for enterprise deployment.

• Operational Dashboards: Developed hands-on Airtable walkthroughs, teaching leaders how to build relational databases for AI trend tracking and ROI assessment.

• 0-to-1 Integration Roadmaps: Created lightweight, scalable 12-month readiness frameworks to help non-technical executives identify bottlenecks and deploy AI tooling with minimal friction.

Technical Credentials include:

• AI & Cloud Infrastructure: AWS Certified Cloud Practitioner, Azure AI Fundamentals, NVIDIA AI Infrastructure and Operations Fundamentals.

• Execution & Delivery: PMP, CSM, CSPO.

• Security & Compliance: Proven history of architecting zero-downtime cutovers and maintaining NIST 800-53 / high-level cybersecurity requirements for the Federal Reserve and DHS.