Vetted Artificial Intelligence Professionals

Paul Kasinski

Screened ReferencesStrong rec.

Executive CIO/CTO specializing in enterprise transformation across retail, e-commerce, and AI

Santa Monica, CA17y exp

“Senior technology executive (CTO/SVP Technology, also board member) with experience modernizing legacy environments and scaling teams in high-growth and PE-owned contexts. Architected a standardized enterprise platform (ERP/WMS/CRM/POS/eComm/DWH/BI/integration) to rapidly migrate acquisitions—moving 7 companies in under 3 years and cutting migration timelines ~4x—while also driving major org redesign and hiring acceleration (30+ hires in 6 months).”

Neel Sen

Screened ReferencesStrong rec.

Executive product leader specializing in AI, platforms, and growth

Florham Park, NJ13y exp

“Innovation leader with 8 years managing Verizon's innovation arm, working closely with venture teams, innovation studios, and early-stage startups across multiple markets. Currently building a homeowner-focused AI startup with a working backend prototype using LLM and multimodal AI, combining enterprise product lifecycle experience from Cisco with 0-to-1 venture building.”

william chen

Screened

Executive game technology leader specializing in product innovation and live-service platforms

Los Angeles, CA27y exp

“Serial entrepreneur with multiple successful exits who has previously raised several rounds and worked with accelerators. Currently building an AI-powered life simulation universe with prompt-based creation and a self-evolving persistent world, backed by completed market research and an MVP in development.”

Madhurya Taneja

Screened

Mid-level strategy consultant specializing in private equity and investing

Delhi, India5y exp

“Candidate appears to operate at the intersection of founder sourcing, early-stage company evaluation, and hands-on growth support. They combine investor-style discovery with practical execution—using tools like PitchBook, Crunchbase, Notion, and Airtable, and have examples spanning AI/robotics and fintech where cold outreach led to founder relationships, customer opportunities, and marketing initiatives.”

“AI-native engineer who says 100% of current development is done through coding agents and reports roughly 10x productivity gains. Currently building 'AI TV,' a production video-generation system with multi-agent orchestration, including a motion-graphics pipeline where agents handle high-level design, low-level implementation, and iterative review. Particularly strong in designing codebases and workflows so AI systems can effectively use architectural and product context.”

“Operations and scaling leader who launched Management Events' Germany office from 0 to 10 employees and advised HQ on scaling into mature European markets (Germany/UK/France). Also has Intel and Microsoft experience taking local best practices global, including scaling the Microsoft Virtual Academy worldwide, plus recent executive mentoring via nonprofit board leadership (co-chair at United Planet).”

Andrew Rosenblatt

Screened

Executive CIO specializing in AI-driven healthcare transformation and M&A integration

Culver City, CA16y exp

“Healthcare technology veteran with 21 years in the space who is now building Explain My Labs, a pre-seed startup with an alpha product already in friends-and-family testing. They bring hands-on startup preparation experience, including a pitch deck, investor meetings, and a clear thesis around a market gap in solutions that serve both patients and users.”

“25+ year professional exploring entrepreneurship; previously helped develop corporate venture capital at Siemens and AVEVA and ran end-to-end diligence through deal close, with heavy technical diligence on pre-seed/pre-revenue companies. Interested in building an AI-enabled hard lending/origination approach to reduce decision-to-close time and scale in a large lending market, and prefers VC studio/EIR models with paid roles rather than equity-only arrangements.”

“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”

“LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.”

hemant jha

Screened

Executive Design & Innovation Leader specializing in product, strategy, and sustainable systems

Chicago, Illinois25y exp

“Product/system designer focused on ultra-clean, modular, customizable work/organization environments (e.g., making stations for studios and fabrication spaces). Emphasizes rules-based interaction models, restrained structural visual language, and hands-on field research/prototyping to embed industrial constraints (tolerances, load paths, safety) into intuitive, training-free user experiences.”

“Serial entrepreneur and 5x founder with 20+ years spanning VC-backed startups and large public companies, including multiple successful fundraises and exits. Currently evaluating new ventures in AI-driven health and purpose-driven smart glasses, with a thoughtful founder lens on asymmetric impact, mission alignment, and structural advantage.”

Alexander Schaab

Screened

Executive Technology & Product Leader specializing in ADAS and software-defined vehicles

Cupertino, CA14y exp

“Automotive technology leader who has driven ADAS/autonomous driving (L2++ to L4) and AI-assistance roadmaps for Mercedes and Volkswagen Group. In current role, built a software-defined vehicle organization from a handful of people to ~150 supporting VW, Porsche, and Audi, while setting scalable architecture foundations across brands and vehicle classes.”

“Founder building a digital transformation startup that combines execution, GCC/center-of-excellence setup to fund transformation via labor arbitrage savings, and an AI/data analytics platform with live dashboards. Previously delivered multiple Fortune 500 transformations and created fraud-detection value by reusing in-vehicle cybersecurity data to identify warranty and odometer rollback fraud; currently raising capital through executive/board networks and Silicon Valley investors.”

Brett Potter

Screened

Director-level Blockchain Engineer specializing in smart contracts and Web3 infrastructure

Miami, FL15y exp

“Technical leader with startup and venture experience who recently had a modest exit from a crypto protocol called Buck. Previously served as Technology Director at Launch Code Capital and has worked across multiple startups, bringing both operator and VC-side perspective.”

Philip Kearney

Screened

Executive engineering leader specializing in embedded systems, IoT, and wireless networking

San Francisco Bay Area, CA34y exp

“Former Apple employee who worked with Steve Jobs in the early 2000s and is now looking to join startups as a CTO partner to non-technical founders. Brings a thoughtful, skeptical lens on VC-backed startup execution, emphasizing technical feasibility, real product-market fit, and mission-driven teams solving meaningful problems.”

“Seasoned business leader with decades of leadership experience (including Fortune 50/500) and prior Silicon Valley startup exposure, now pursuing entrepreneurship. Building “Datascension,” a gamified, story/episode-based career coaching platform that includes hands-on tasks (e.g., SQL queries, Python scripts) plus a participation-based credit/currency system and certification/badging, informed by feedback from recruiters and coaching/recruiting firms.”

“Hands-on engineering manager on a large web product who built an AI-driven navigation search and led a major post-acquisition unification effort across 3 companies and 5–7 teams, including front-end architecture for 60+ developers. Also owns a high-scale BFF (800 endpoints) and drove a deep reliability fix involving Kubernetes/Envoy/Redis session bloat, adding monitoring and preventative controls.”