Vetted Artificial Intelligence Professionals

Joe Brannon

Screened

Executive IT & PMO leader specializing in digital commerce and enterprise transformation

Baton Rouge, LA19y exp

“IT leader with hands-on M&A integration experience (including day-one readiness) across notable brands (e.g., Billabong, Marucci Sports) and product-focused organizations (Oakley). Brings broad IT domain expertise (AI, business systems, digital sales technologies) and has worked with multiple startups; interested in joining an existing startup to help it scale rather than founding a new company.”

Shram Kadia

Screened

Mid-level Software Engineer specializing in backend systems, cloud-native apps, and AI platforms

Santa Clara, CA4y exp

“Backend/full-stack engineer who has owned production systems end-to-end, including a Dockerized Node.js/TypeScript probabilistic fault-tree analysis service for nuclear safety research deployed on AWS. Also built and operated a FastAPI-based RAG pipeline over 200+ PDFs using FAISS, focusing on low-latency, idempotent workflows and strong observability; experienced with API design and Playwright E2E automation across React/Angular projects.”

Matthew Wackerhagen

Screened

Director-level Growth & Innovation Leader specializing in AI-enabled transformation

Charlotte, NC10y exp

“Innovation-focused operator from a Fortune 100 financial services environment (TIAA) who repeatedly brought startups into the enterprise to accelerate change. Created a white-glove inside sales model to improve annuity conversions, generating hundreds of millions in year-one impact and reportedly surpassing $1B over time. Interested in entrepreneurship but only with a funded startup that can provide salary stability.”

Zhiwen Zhao

Screened

Junior Data Engineer specializing in cloud ETL and big data platforms

New York, NY3y exp

“Data engineer focused on transit/transportation datasets, building Spark-based pipelines that ingest from Oracle/APIs, apply PySpark data-quality fixes, and publish star-schema fact tables to Azure Data Lake. Experienced troubleshooting complex Spark failures (using checkpointing to manage long lineage) and operating Airflow-driven backfills and GitLab CI deployments for production DAGs.”

“Candidate founded a non-profit and developed unconventional funding mechanisms for it, including a book whose proceeds support the organization and a patented AI stack designed for licensing royalties. They also bring early startup experience and acquisition due-diligence exposure, and are specifically interested in contributing their technical and venture incubation background within an existing entrepreneurial company rather than founding a new one.”

“Full-stack web developer with experience owning products from client discovery through launch and post-launch iteration, including a complete freelance build for an interior design firm and a large-scale React/TypeScript migration during an internship at Gateway Ticketing Systems. Stands out for balancing strong visual design with performance and SEO, and for improving emergency-use UX in an MVP product through flow simplification and A/B testing.”

“Built internal production LLM tools for engineering and support, including a customer-health assistant and a RAG-based incident explainer grounded in logs, metrics, and deploy data. Stands out for combining strong GenAI safety/evaluation practices with pragmatic backend engineering, delivering measurable impact like a 40% drop in data-help requests and answers in seconds instead of minutes or hours.”

“Entrepreneur building a bootstrapped AI-native manufacturing company that combines agentic AI, LLM-assisted CAD/CAM, and in-house CNC machining to speed up hardware iteration. Comes from an early-stage enterprise SaaS background and evaluates opportunities like an angel investor, with strong fluency in VC dynamics and founder-market-team fit.”

“Enterprise sales leader focused on identity, fraud, compliance, and digital trust solutions in highly regulated markets, including public sector. Stands out for repeatedly building new verticals and scaling revenue—most notably growing a gaming business from $0 to $25M and a healthcare business from $40M to $100M—while applying rigorous MEDDIC/MEDDPICC discipline and hands-on team leadership.”

Arpan Acharya

Screened

Executive engineering leader specializing in AI, data platforms, and healthcare SaaS

Pittsburgh, PA21y exp

“Senior product and platform engineering leader with experience spanning startup-style incubation and large-scale enterprise transformation at Omnicell. Led architecture used by 400+ engineers, scaled a new data-focused team from 10 to 60, and drove an inventory optimization platform that helped secure the company’s first $100M+ multi-product contract.”

“Hands-on engineering leader who has scaled teams quickly (hired 20 engineers in 4 months) and led major architecture shifts including monolith-to-microservices and serverless, async AI-driven medical data ingestion/search. Also drove a versioned-inventory redesign with auditability and rollback that reduced operational errors by 22%, and demonstrates strong incident response with clear stakeholder communication.”

“AI product leader working at TAU Ventures Innovation Lab and previously at Verint and NYSHEX, with a track record of turning legacy and ambiguous AI opportunities into shippable, human-centered products. Notably led Verint’s evolution into a low-code AI orchestration platform with 20+ capabilities and measurable gains in CSAT, handle time, and recurring revenue, while consistently emphasizing trust, workflow fit, and human-in-the-loop design.”

Ben Ayed

Screened

Executive product leader specializing in AI, security, and connected devices

Fremont, CA22y exp

“Product leader with hands-on experience building and scaling a production Voice AI Assistant for automotive dealerships, combining LLMs, speech technologies, workflow orchestration, and system integrations. Stands out for balancing AI capability with trust, UX, and operational ROI—shipping a system that answered over 90% of incoming calls while improving conversion, reducing workload, and augmenting rather than replacing human staff.”

Ilya Kravchenko

Screened

Executive engineering leader specializing in AI-enabled SaaS and internet-scale platforms

Thousand Oaks, CA20y exp

“Engineering leader with a rare blend of SaaS, robotics, and AI systems experience, most recently leading a 21-engineer org under the CTO. They pair strong people/process leadership with hands-on architecture depth, driving dramatic delivery improvements while also building grounded LLM support tooling for warehouse operations where accuracy directly impacts physical execution and customer outcomes.”

Richard Roberts

Screened

Executive TV/Film Editor-Producer specializing in reality, documentary, and broadcast programming

7y exp

“Senior video editor and post producer with deep Premiere experience (and Avid for network-style work), spanning feature documentaries, TV specials, promos, and music videos. Has led teams of 5–12 editors on high-volume schedules (5–6 shows/week) while mentoring on craft, software, music, and montage. Notable credits include work with Discovery and the YouTube channel Organic Nation (Stacey Poon Kinney).”

“Multi-time founder (with exits) currently bootstrapping BrightVoice, an early-stage AI SaaS platform focused on improving law firm intake, client communication, and revenue workflows. Operates with a lean, capital-efficient approach centered on rapid validation and real customer traction, and is highly familiar with VC, venture studios, and accelerators.”

Kristina Andrews

Screened

Senior Technical Recruiter specializing in FinTech and enterprise technology hiring

Atlanta, GA20y exp

“Recruiter with extensive experience in high-volume, fast-changing environments, managing 70+ requisitions while owning full-desk searches from intake through onboarding. Stands out for combining process discipline, stakeholder coaching, and data-backed compensation advocacy, including building manual Excel tracking systems when ATS and reporting tools were insufficient.”

Vasudev Konde

Screened

Mid-level Full-Stack Java Developer specializing in APIs and cloud microservices

Phoenix, AZ5y exp

“AI/LLM engineer who has shipped a production document-intelligence agent that automated internal support workflows using RAG, tool calling, and robust fallback controls. Stands out for combining hands-on architecture with measurable business impact: 85% faster query resolution, 35% lower LLM cost, 40% fewer LLM calls, and enough automation to avoid adding 2-3 support engineers.”

“Implementation consultant/business analyst with 8 years of experience delivering enterprise banking, tax, and payroll deployments, including 100+ Horizon Core implementations at FIS and roughly 20 ADP Workforce Now rollouts. Stands out for combining hands-on technical mapping and IBM i/AS400-based configuration work with strong banking compliance knowledge across OFAC, Regulation E, Regulation O, and NRA requirements.”

Becky Dubrow

Screened

Director-level Product Leader specializing in SaaS and cybersecurity platforms

Remote, USA21y exp

“Security product leader with deep experience spanning Bishop Fox, Malwarebytes, and startup environments, combining platform architecture, AI-enabled security workflows, UX judgment, and org leadership. Notably re-architected offensive security platforms, introduced human-in-the-loop AI systems, and scaled a consumer business from $17M to $120M+ ARR while growing and mentoring global product teams.”

Jerry McElroy

Screened

Executive Enterprise Sales Leader specializing in AI and SaaS

Burlingame, CA13y exp

“Founding/early-stage AE with deep MarTech and GTM SaaS experience who repeatedly builds structure where little exists—defining ICPs, creating outbound motions, implementing CRM/process rigor, and partnering with founders on positioning. Has closed six-figure enterprise wins such as Accenture and Northwestern Mutual, including an outbound-sourced Accenture deal closed in under 10 weeks.”

“Senior product leader with a track record of rebuilding complex enterprise products in legal tech, martech, and financial data. Notably transformed Recommind's eDiscovery UX ahead of its $163MM acquisition and now builds high-scale LLM-powered SEC filing analysis at FeeLogic, combining strong AI product judgment with a human-centered philosophy for high-stakes workflows.”