Vetted User Research Professionals

“Creative director/designer spanning high-polish marketing brand work and enterprise innovation: built a full podcast brand ecosystem and a cinematic historical visualization using Google Veo 3. Also led an AR/VR-assisted remote troubleshooting initiative at TriMas (HoloLens-style workflows), delivering a 40% MTTR reduction and cutting expert travel by 50%+ while standardizing reusable interaction components for global teams.”

Mandy Anger

Screened ReferencesStrong rec.

Executive product leader specializing in EdTech and AI-powered learning products

Idaho Falls, ID16y exp

“Education-focused product leader with a career spanning Waterford, WGU, ETS, Stukent, and Accelo, combining zero-to-one AI product building with portfolio-scale operating rigor. Particularly compelling for mission-driven edtech roles: they launched an AI-powered K-12 product line with five state agency partnerships in under a year and consistently frame AI as a tool to amplify, not replace, educator and tutor judgment.”

“Product and design leader who has built 0-to-1 products across proptech and healthtech, including founding GoodFences and creating an explainable AI architectural review engine for HOAs. Combines deep user research, strong AI product judgment, and team-building experience, with a personal connection to educational equity as an immigrant and parent in the public school system.”

“Internship experience building an end-to-end medical AI pipeline that extracts and normalizes messy medical PDFs, fine-tunes BioBERT to classify tumor-related statements (including negation/ambiguity handling), and integrates image-model outputs (MedSAM/GroundingDINO) for tumor localization and classification. Also worked on an LLM/RAG system to draft IPO prospectuses using retrieved regulatory/financial sources (including SEC EDGAR) with structured prompts to reduce hallucinations.”

“Co-founder and employee #1 who built Reva, a vertically integrated conversational CRM for multifamily leasing and resident services, leading product, engineering, and design from inception through acquisition. Combines deep enterprise product leadership with early AI experience, including a pre-LLM chatbot that drove a 400% lift in lead conversion and prior edtech work where AI-enabled learning tools improved struggling students by a full letter grade on average.”

“Cofounded a travel app and built a production place recommendation + review system end-to-end using Next.js App Router and TypeScript, including Postgres-backed APIs and post-launch monitoring. Uses structured logging with Sentry and Vercel Analytics to diagnose issues and validate performance improvements, and has some exposure to Temporal-based workflow orchestration with retries/idempotency.”

Fnu Pallavi Sharma

Screened

Intern Data Scientist specializing in ML, NLP, and MLOps for healthcare and enterprise AI

Madison, WI1y exp

“Built a production multi-cloud LLM-driven IT ticket automation system using LangGraph, Azure + Pinecone RAG, and an Ollama-hosted LLM on AWS, with Terraform-managed infra and PostgreSQL audit/state tracking for reliability. Also partnered with UW School of Medicine & Public Health students to deliver a glioma survival risk-ranking model, translating clinical feedback into practical pipeline improvements (imputation, site harmonization) and stakeholder-friendly visualizations.”

Edward Yu

Screened

Senior Software Engineer specializing in FinTech, payments, and authentication

Sunnyvale, CA8y exp

“Software engineer with experience at Dollar Shave Club and Mudflap, focused on user-driven product delivery and cross-team alignment. Built an Okta SSO-based internal portal (React/Node) centralizing access to org services, and has hands-on experience diagnosing LLM/agent workflow issues via instrumentation and systematic triage. Known for translating between product/customer needs and engineering tradeoffs to ship quickly while planning stabilization and scalability.”

Aarush Monga

Screened

Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics

New York, USA3y exp

“Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.”

Vikram Kini

Screened

Mid-Level Full-Stack Engineer specializing in React, TypeScript, and microservices

3y exp

“Built and productionized an AI agent-based in-app assistant at ISAFE to guide users through document workflows, piloting with a partner school district and then rolling out across districts. Combines hands-on LLM/agent debugging (logs, fallback rates, state/context tracking) with strong technical demos and sales enablement through live workflows and pilot programs (e.g., Osceola School District).”

Sanjana Chowdary

Screened

Intern Full-Stack Engineer specializing in web applications and AI

New York, NY2y exp

“Engineer with hands-on experience both using AI coding agents in production and building AI systems, including chatbot development and BERT fine-tuning at Atos. At Groupr, they applied strong systems judgment to live operational workflows, validating concurrency decisions manually for an admin portal supporting 500+ orders per day.”

Brian Lam

Screened

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

New York, NY12y exp

“Frontend-focused engineer working in Next.js/React who has owned complex internal and partner-facing browser workflows, including a multi-step CSV onboarding wizard and an admin quiz editor. Stands out for practical debugging skill on production-only timezone issues and for building resilient, typed form-heavy UIs with strong error handling.”

“Product leader with a rare mix of healthcare, HR tech, mobile, and AI experience. They rebuilt UPMC's member app for 3M members while pioneering a product-based funding model inside a large enterprise, and later drove 80%+ revenue growth at JazzHR by reshaping marketplace UX for SMB buyers. Their AI work is notably human-centered, with explicit fairness, compliance, and approval guardrails.”

“Product leader from Convosocial/Verint with hands-on experience integrating AI into customer service workflows, including a RAG-powered assistant that improved agent efficiency by 33%. Combines enterprise product strategy, UX instincts, and people development, with a strong human-in-the-loop perspective on AI and a track record of mentoring team members into product and data-focused roles.”

Jahid Hasan

Screened

Mid-level AI Product Leader specializing in agentic systems and developer platforms

Ames, IA4y exp

“Cofounder of Tometo AI who built a multi-agent engineering manager platform aimed at giving startup founders FAANG-style team visibility and blocker detection. Stands out for combining product leadership, AI evaluation rigor, and user-driven UX pivots, with tangible traction including a #2 Product Hunt launch and 150+ customers onboarded.”

“Unity/VR developer and PhD researcher who served as lead developer on a clinical VR application (VheaRts) used by surgeons at Great Ormond Street Hospital, taking over a messy codebase and rebuilding its architecture, documentation, and extensibility. Also built research-focused Unity VR experiments (e.g., change blindness in a dynamic living room) with sophisticated logic to control participant attention while monitoring physiological cues.”

“Backend engineer with experience spanning regulated financial systems at Oracle Financial Services and early-stage product building at Apli.ai. Has owned production onboarding infrastructure end-to-end, improved reliability through strong observability and incident response, and also built AI-backed backend workflows using AWS, Bedrock, and RAG.”

Joseph Selby

Screened

Senior Product Leader specializing in EdTech and digital assessment

Remote, USA17y exp

“Edtech product leader with deep experience across Pearson, SMART, and Promethean, spanning legacy platform modernization, classroom engagement tools, and early AI in education. Particularly compelling for roles at the intersection of product, pedagogy, and human-centered AI: they rebuilt SMART's 29-year-old Notebook platform and have repeatedly designed products around real teacher and student needs.”

Zach Dosen

Screened

Executive product leader specializing in healthcare IT, AI, and enterprise SaaS

Marietta, GA18y exp

“Product leader with deep healthcare AI experience who has launched high-impact products at hc1 and now navigates complex franchise stakeholder environments at ABM. Stands out for pairing rigorous prioritization and human-centered AI design with measurable business results, including a 20% staffing cost reduction and a 62% reduction in lab test-matching labor.”

“Healthcare product leader with substantial experience in clinical software, medical devices, analytics, and AI/ML-enabled workflows. They have led a cloud analytics platform for hospital systems, managed a machine-learning insulin dosing product in a safety-critical environment, and driven UX modernization of clinician-facing applications while coordinating deeply across engineering, QA, data science, DevOps, and customer success.”

“Built Taskline end-to-end as a solo founder: an AI-native operations platform for tradespeople with web and mobile apps, AI receptionists, invoicing, scheduling, and payments. Particularly interesting for teams seeking a zero-to-one full-stack builder who can turn LLM/agent capabilities into practical, low-friction products for non-technical users.”

“Product/UX designer with hands-on front-end implementation experience who has worked across both consumer and enterprise contexts, including a veterinary hospital funnel redesign and an AML fraud detection system. Stands out for tying UX decisions to measurable business outcomes, including a 17% reduction in dropoff after redesigning package selection and validating changes through usability testing.”

“Early-career software/AI intern with startup and hackathon experience who blends backend engineering with product communication and user-feedback-driven iteration. Worked in a fast-paced SaaS environment at Airmeet and has experience pitching technical products, refining onboarding/workflows, and thinking beyond pure implementation toward adoption and growth.”

“Frontend-focused engineer with experience spanning AI interview coaching and institutional financial dashboards. Stands out for combining user-centered UI design with deep browser-performance work, including reducing dashboard lag via virtualization and building low-stress, progressive-disclosure interfaces for anxious job seekers.”