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.”

“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.”

“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.”

“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.”

“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.”

“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).”

“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.”

“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.”