Vetted Artificial Intelligence Professionals

“IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.”

“Technology executive (10+ years in consulting) now bootstrapping a startup (No Taker Guard) with an MVP live on a marketplace and 50+ potential client engagements. Has led complex healthcare initiatives, including migrating an EMR system to the cloud via PoC, vendor collaboration, and end-to-end deployment, enabling AI analytics and telehealth capabilities while improving scalability and reducing costs.”

“Robotics software engineer focused on ROS2 motion and calibration systems—built a trajectory generator/low-level controller using TOPPRA that improved robot motion speed by 11x while increasing accuracy. Experienced making high-frequency robot communication more real-time (core isolation) and shipping ROS2 modules via Docker-backed CI/CD, including serving as release manager coordinating reviews, release notes, and QA.”

“UX/product designer with deep healthcare and mission-critical software experience across 3M Healthcare, GE Healthcare, and Motorola. Has designed complex lab automation and radiology workflows end-to-end, combining rigorous field research with hands-on engineering (HTML/CSS/TypeScript/React, Storybook) and even building live prototypes (Firebase + Angular) and production-ready UI control libraries to ship.”

Kaustav Mukherjee

Screened

Staff Product Leader specializing in AI, CRM, Martech, and Commerce platforms

12y exp

“Product leader with experience spanning Intuit, Taylor Brands Innovation Lab, and Head of Product at Content Analytics, combining strong product architecture judgment with practical AI/ML execution. They led a QuickBooks proposals rebuild that improved SMB job win rates and an AI sizing initiative that doubled digital adoption while reducing fit-related exchanges, and they also built an AI-powered career coaching app grounded in a human-centered AI philosophy.”

“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”

“Built ZenDraft and brings an operator's lens to founder sourcing and evaluation. Demonstrated ability to run structured outbound, convert cold outreach into product-shaping conversations and pilot introductions, and manage an early-stage investment-style pipeline with clear decision frameworks.”

“Early-stage venture and talent operator with experience sourcing founders and leadership talent, including helping source Truemoringa into a pre-seed investment. Brings a relationship-first style, broad venture-network sourcing, and structured diligence processes spanning product, IP, legal, operations, and cap table review.”

Sumaya Shakir

Screened

Executive Technology Leader specializing in SaaS platforms, data ecosystems, and product engineering

24y exp

“Technology leader who drove end-to-end modernization at Dogtopia—building a proprietary SaaS POS/CRM and operations platform plus an AI-powered customer app—using OKR-driven roadmaps and Agile/DevOps delivery. Previously at GE, led a cloud-native AWS data fabric re-architecture with strong security/governance (RBAC, classification, encryption, lineage, virtualization), cutting processing time 60%+ and enabling AI workloads tied to $400M in business value.”

Inman Breaux

Screened

Executive SaaS & AdTech CEO specializing in AI attribution and mobile growth

San Francisco, CA17y exp

“Mobile-tech entrepreneur building AppQ (mobile.appq.ai), an agentic mobile SDK that optimizes mobile UX in real time to improve Day 1/Day 7 retention by adjusting levers like ad frequency, difficulty, messaging, and artwork. Previously co-founded an SDK-led mobile ad network (invented push notification ads), scaled to 300K+ SDK integrations, and grew revenue from $7M in 10 months to $50M the following year before exiting in 2020.”

Ranjit Venugopal

Screened

Senior Global Talent Acquisition Leader specializing in TA transformation and AI-enabled recruiting

Portland, Oregon18y exp

“Talent Acquisition Operations leader with experience at Intel and Synopsys, managing a 12-person ops team and leading end-to-end recruiting tech stack implementations (Avature ATS/CRM, SmashFly, HiredScore AI) integrated with Workday. Known for redesigning global operating models and executive recruiting workflows, building analytics in Visier/Avature, and driving measurable outcomes including ~80% reduction in external vendor dependency and improved candidate experience through consistent CRM-based engagement.”

“Senior engineering leader from IBM who has built and scaled enterprise AI/GenAI platforms across hybrid and multi-cloud environments, combining executive-level org leadership with hands-on debugging of production distributed systems. Particularly compelling for Director/VP roles needing someone who can unify architecture, platform strategy, and engineering execution across multiple teams.”

“Transformation and integration leader with experience spanning Morgan Stanley, Exiger, and Cisco, focused on helping organizations execute through acquisitions, large-scale change, and operational complexity. Particularly compelling is their blend of enterprise M&A integration expertise and practical AI modernization work, including leading a RAG/LLM-based diligence initiative across 13 functional domains.”

“Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.”

“IBM engineer who shipped an LLM-powered knowledge transfer platform (Transition Engine) for federal contract handoffs, deployed on a production OpenShift cluster in AWS GovCloud with FedRAMP-aligned compliance and strict data-boundary constraints. Led retrieval strategy, prompt engineering, and production deployment (PostgreSQL/Milvus/Keycloak), driving a reported 50% reduction in contract transition ramp-up time and positioning the tool for revenue-critical federal deals.”

Matthew Cason

Screened

Senior Strategy & Venture Investing Professional specializing in deep tech and energy

Los Angeles, CA7y exp

“Operator/Chief-of-Staff-style leader with experience spanning a seed-stage aerospace startup, Capital One, and Oasis Financial. Has led multiple executive-driven cross-functional initiatives, built hiring and data/dashboard systems (Tableau) to increase executive leverage, and managed strategic product transformation work alongside day-to-day operational execution.”

Tom Dinwiddie

Screened

Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration

20y exp

“Technology executive/CTO-type leader with experience at ALLDATA defining and operationalizing an executive-prioritized roadmap, scaling distributed engineering teams (including expansion in Mexico and India), and modernizing products onto a containerized Google Cloud architecture. Highlights include 99.96% reliability, 38% maintenance cost reduction, and strong security/compliance posture (CyberArk, ISO27001, SOC2, SOX).”

“Engineer with hands-on experience shipping production Python integrations and designing for reliability from day one, including idempotency, retries, dead-letter handling, contract checks, and full observability. Also brings web automation experience with Puppeteer and has implemented high-availability failover using load balancer liveness checks, backup environments, and cold standby architecture.”

“Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.”

“Senior public sector sales leader with experience running large territories across the Northeast and TOLA, covering K-12, higher education, state/local government, municipalities, and federal accounts. Brings a consultative, segment-driven approach to growth and cites 20% revenue growth and 5-10% market penetration gains, with notable experience leading cybersecurity-focused education deals involving biometric authentication and secure access challenges.”

“Product leader with a rare cross-industry track record spanning fire departments, supply chain analytics, renewable energy, and staffing. They have led complex zero-to-one and migration-heavy product launches, including shipping 3 new public-safety products during COVID, driving 7x faster customer migrations and major revenue uplift, while also commercializing ML-powered analytics products that increased ARR.”