Vetted User Research Professionals

Dhananjay Sharma

Screened ReferencesModerate rec.

Mid-level Full-Stack Engineer specializing in AI and FinTech platforms

Stony Brook, NY6y exp

“Full-stack engineer who built RegArt’s product from 0→1 for enterprise compliance users at clients like HSBC and EY, including the production React frontend, backend APIs, and an LLM-powered search experience. Particularly compelling for startups needing someone who can move across UI, API, and data layers, make pragmatic architecture tradeoffs, and ship fast without over-engineering.”

“Senior product leader with experience at Discover and Capital One, focused on platform modernization, partner onboarding, and AI-enabled workflow automation in regulated financial environments. Particularly compelling for roles needing a 0-to-1 builder who can align engineering, design, compliance, and executives while shipping human-centered AI products with measurable impact like 50% faster onboarding and 40% lower design load.”

“Product leader with a strong track record of modernizing legacy SaaS platforms, including an API-first rebuild that increased engagement by 40% and reduced support burden. Also led AI-powered workflow automation that delivered 80-90% time savings through human-in-the-loop design, showing a pragmatic, user-centered approach to applied AI.”

Sakid Ahmed

Screened

Executive Telecom & Wireless Connectivity Leader (GM/VP Engineering)

Chicago, IL29y exp

“Operator with experience in a private equity-backed business that was carved out of a larger company and later taken public. Brings a startup-builder mindset from within larger-company environments, with emphasis on P&L ownership, go-to-market strategy, product strategy, and evaluating ideas through product-market fit and scalable market demand.”

“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”

“Product leader with cross-industry experience spanning field-service/mobile platforms, healthcare EHR patient portals, and legal contract lifecycle management. Stands out for building and pitching platform strategy at the executive level, shipping AI-assisted workflow improvements that saved technicians time, and tying product investments directly to business outcomes like ARR growth.”

Kerri Heinen

Screened

Principal Product Owner specializing in healthcare IT and med-tech

Mounds View, MN17y exp

“Product leader with experience modernizing legacy customer-facing platforms and delivering AI-enabled healthcare capabilities, including an algorithm to classify true cardiac arrhythmias for clinicians. Brings a structured, cross-functional approach to roadmap decisions, user engagement, and team development across engineering, UX, and Scrum teams.”

Betsie Hoyt

Screened

Director-level Product Management leader specializing in SaaS, AI, APIs, and mobile products

18y exp

“Senior product leader in construction technology with experience at Trimble, where they helped reshape a fragmented 15-acquisition portfolio into a platform strategy that became central to how a $250M business is sold and supported. They combine enterprise platform thinking, AI product delivery, and change management, including launching a voice-based LLM workflow for regulated field reporting and coaching cross-functional teams into stronger product practices.”

“Product leader with experience building a patented demand chain management application inspired by 7-Eleven Japan’s inventory practices and piloting it with strong results: lower inventory, fewer out-of-stocks and waste, and higher sales. Has also shipped early AI features in edtech, including student chat moderation, and brings a notably human-centered perspective on AI’s role alongside tutors rather than as a full replacement.”

“Product design leader who has operated as both design head and product owner across retail, supply chain, and global trade platforms. Notable for turning design research into business strategy shifts, leading AI/ML workflow products with measurable adoption gains, and scaling globally distributed design teams while tying UX decisions directly to ROI.”

Russell Gagnon

Screened

Executive product leader specializing in digital health, AI, and B2B2C platforms

Los Angeles, CA21y exp

“Healthcare product leader who built AI-powered, human-in-the-loop experiences that personalized patient journeys while escalating risk to clinicians. Combines strong ML product judgment with disciplined UX simplification and cross-functional leadership, and ties that work to concrete outcomes like 10-20% better blood pressure control, lower A1c, stronger adherence, and higher engagement.”

“AI Product Manager who also operates as a product marketer/CRM lifecycle lead, focused on behavior-driven onboarding and retention. Has delivered measurable growth through segmentation, multi-channel lifecycle programs, and experimentation (e.g., activation +23%, TTFV -30%, retention +14%), and led a cross-functional chatbot integration that improved course completion (+23%) while reducing refunds (-15%).”

“Amazon engineer who built a production AI agent platform (Python/AWS Strands on Bedrock) that lets teams create tool-using, multi-agent workflows—e.g., agents that auto-triage and resolve customer support tickets by reading internal documentation and collaborating with a research agent. Previously worked in Deloitte on IAM using Ping Identity/Ping DaVinci orchestration, and applies orchestration thinking plus structured evaluation (LLM-as-judge, surveys, automated tests) to improve agent reliability.”

“Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.”

xiaowei guo

Screened

Junior Game Designer specializing in AI-driven systems and interactive narrative

Irvine, CA2y exp

“Game economy/progression designer who owned an end-to-end multi-currency economy for a top-down kitchen management sim, balancing cash/reputation/XP with sinks like spoilage, maintenance, and rent. Uses telemetry + structured playtests and spreadsheet simulations to tune pacing, reduce mid-game churn, and prevent late-game inflation by adjusting efficiency/skill curves and phase-based balancing.”

Rowan Ramamurthy

Screened

Mid-level Robotics Software Engineer specializing in multi-robot control and automation

Atlanta, GA4y exp

“Robotics software engineer with ~7 years of ROS/ROS2 experience spanning dual-arm metal additive manufacturing and prior work on the DARPA Subterranean Challenge. Developed in-house multi-arm collision/trajectory planning and achieved a major calibration improvement (from ~6 cm error to ~0.5 mm) via ICP point-cloud registration, with strong simulation/digital-twin, SLAM, and deployment (Docker/CI/CD) exposure.”

“Product designer with hands-on front-end implementation experience who has owned complex flows end-to-end at Wix and Intuit, including a live keynote demo for Wix’s first developer conference and a tournament-based inner-source readiness program across global AI/data teams. Particularly strong at turning ambiguous briefs into structured experiences, using design systems rigor, interaction design, and implementation fluency to ship polished, understandable products.”

Andy Trus

Screened

Senior Product Leader specializing in EdTech and AI-powered learning products

Apex, NC17y exp

“EdTech product leader with deep experience across K-12 and higher education, spanning $100M-scale platform strategy, 0-to-1 learning products, and AI-enabled assessment workflows. Particularly compelling for roles at the intersection of AI and education: they built an LLM-based content QA tool that saved $2.75M and articulate a nuanced philosophy around using AI to amplify human tutoring rather than replace it.”

“Product leader at VicRoads who rebuilt the Custom Plates digital portfolio, including an AI-powered pricing and recommendation platform that drove more than 20% revenue uplift. Stands out for combining commercial product thinking with explainable AI, regulatory compliance, and legacy-system modernization in a government-related environment.”

Susan Sorensen

Screened

Executive product leader specializing in EdTech, learning platforms, and AI-enabled outcomes

13y exp

“Education-focused product leader with 12+ years across Bridge LMS, Canvas, Kuali, and healthcare.gov, known for turning ambiguity into clear product strategy and shipping human-centered AI. They pair strong UX judgment with cross-functional leadership, including a Bridge AI course-creation launch that hit 76.8% admin adoption and a healthcare.gov enrollment redesign that cut session time to under 10 minutes.”

“UX/product design leader with experience at Humana/CenterWell and Zelis, focused on AI-assisted experiences in healthcare and fintech. Stands out for designing explainable, trust-centered AI that supports people in high-stakes moments, and for leading enterprise design teams to think beyond screens toward full ecosystem and business impact.”

“Biopharma R&D product leader with 6-8 years building enterprise data, analytics, and AI products for drug discovery and biologics research. Notably led a multi-site biosample discovery platform that became an enterprise-wide capability at Bristol Myers Squibb and also drove an AI-powered scientific insight platform using RAG/LLM approaches to reduce time-to-insight for researchers.”

“Customer-facing technical professional experienced in productionizing complex systems (including LLM/agentic workflows) and high-volume cloud data pipelines. Built and hardened a near-real-time data extraction/caching solution that significantly reduced latency and became a reusable pattern for other enterprise use cases; also runs developer demos/workshops with hands-on test environments and has driven 30–50% latency improvements.”