Vetted Artificial Intelligence Professionals

“Board member/advisor to a mid–$10M revenue company aiming for $100M+, focused on portfolio trimming, analyst-quadrant positioning (Gartner/Forrester/ISG), and building scalable commercial operations. Has driven org redesign (separating marketing and sales), CRM rollout (Salesforce) alongside existing Dynamics accounting, and coaches founders to adopt metrics, messaging discipline, and delegation for global scale.”

“Operations/process improvement leader with executive experience at Nestlé Purina, applying Lean/value stream mapping to improve IT service response times and user satisfaction. Led the integration of Merrick Pet Food into Purina, addressing scaling constraints by redesigning outdated processes. Also served as a technology mentor to the Purina executive team/CEO to improve decision-making on technology investments.”

“Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.”

“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”

“Early-stage founder building a service business targeting small clinics, already with one client. Identified the opportunity by helping a family member and then validating needs through direct client conversations; uses AI (including AI agents) for content generation and plans deeper workflow automation to scale cost-effectively.”

“Growth-creative/performance marketer with hands-on Google Ads experience who expands search-heavy advertisers up-funnel via intent-driven display and remarketing. Demonstrated measurable impact (10% traffic lift at 1.8 ROAS; ~20% ROAS improvement via responsive creative formats) and runs fast, statistically driven creative iteration across Meta/TikTok/YouTube while directing creators and editors.”

“Cross-functional operator with experience coordinating a medical device build across functions and time zones, emphasizing executive alignment and decision sign-off. Has also standardized customer-site product deployment processes and streamlined investment screening/reporting using Bloomberg and Excel automation to enable faster executive decision-making.”

“Backend/cloud engineer with deep Azure and distributed-systems experience: owned an end-to-end Python multi-orchestrator config generator (Contrail) spanning OpenStack/vCenter/OpenShift/Kubernetes via a translation-layer approach. Built GitOps-style ARM-template infrastructure and CI/CD with automated testing, including a zero-downtime Databricks-to-Synapse migration using parallel production validation. Worked on Microsoft Azure Identity gateway (reverse proxy for auth) and executed ring-based deployments for major platform migration.”

“NYC-based startup founder/CTO who sold products to Omnicom and Sprinklr, then built an AI-powered cultural insights engine inside Omnicom using AWS Lambda + ML to process ~1M items/day and reached ~$1MM ARR in year one. Former senior leader at Sprinklr managing 200+ people globally, delivering enterprise martech solutions with SLAs and high-reliability social data pipelines (Twitter firehose).”

“Corporate transactional/M&A attorney with private equity deal experience who runs cross-functional workstreams across tax, finance/lending, restructuring, and benefits, and is trusted as an "outside in-house counsel" for C-suite needs (board materials, equity, annual reports). Previously led day-to-day operations at a custom-apparel startup, automating fulfillment and scaling a nationwide campus-manager program (25+ hires) while improving fulfillment speed and driving $2M+ annual revenue growth.”

“Senior executive-operations leader who has run CEO-office functions at BNY (Head of the CEO Office) and supported scaling leadership teams at Public as Chief of Staff to Co-CEOs/Head of People. Known for building operating cadences (MBRs, offsites), creating decision-driving templates, and executing high-stakes weeks combining board governance, CEO travel/client engagements, and external communications with strong discretion.”

“P&G operator who is also building and selling an AI receptionist (voice agent) SaaS for healthcare/service clinics, using EHR + calendar API compatibility to target accounts and letting the Voice AI run parts of the demo to prove value. Has already closed and deployed to two clients in the last two months, with production impact via reduced front-desk overhead and automated scheduling/FAQs, and brings a structured, scalable deployment/process mindset from global WMS rollouts.”

“Alliance leader with experience at both AWS and Equinix who built and commercialized multi-megawatt GPU/AI infrastructure opportunities in partnership with Oracle. Strong in structuring contract models (including Federal reseller scenarios), value-based negotiation to defend pricing, and navigating hyperscaler-style procurement (RFPs, security/compliance, multi-year budgeting) while coordinating architects/SEs and customer stakeholders.”

“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”

“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”

“Operator who has repeatedly stepped into founder-level, cross-functional ownership at startups—running full HR (recruiting, onboarding, benefits) with AI-driven process automation, and later serving as interim VP People & Culture during an executive transition. Also managed cap table, 409A, equity grants, and day-to-day investor relations, and built company-wide ELT goals/KPIs and operating rhythms tied to board-approved strategy.”

“Commercial/GTN leader with GCP experience managing multi-year, multi-megawatt AI/GPU infrastructure commitments, owning segment P&L and governance for take-or-pay/reserved capacity. Drove a major client partnership scaling ARR from $50M to $100M in 18 months by aligning Product/Engineering, GTM, and infra teams and building flexible, margin-protective commercial structures. Known for speeding hyperscaler procurement/security reviews (FedRAMP/SOC2, IAM, data residency) and operationalizing multi-region delivery with landing zones and IaC.”

“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”

“Operations leader with experience scaling a fast-growing, startup-like government organization (tripled headcount in two years) by implementing OKRs, operating cadences, reporting structures, and decision/escalation frameworks. Has led complex process turnarounds (including a debt-collection overhaul with legal coordination and an appeals board) and advises executives on high-stakes public communications during critical-infrastructure cybersecurity incidents using data-driven decisioning.”