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Vetted A/B Testing Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in data platforms and analytics dashboards
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Senior Product Manager specializing in B2B SaaS platforms and AI/ML features
Mid-level Business Analyst specializing in BI, predictive analytics, and operations
Mid-level AI Software Engineer specializing in healthcare and agentic systems
Junior GTM and growth operator specializing in AI, SaaS, and sports tech
Mid-level AI/ML Engineer specializing in FinTech and production ML systems
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Senior Full-Stack Engineer specializing in healthcare and enterprise web platforms
Senior Full-Stack Product Engineer specializing in SaaS and product design
Director-level Marketing & Brand Lead specializing in Web3 and performance advertising
Mid-level QA Engineer specializing in blockchain and game platforms
Robert Sarrow
Director-level Lifecycle & CRM Marketing leader specializing in healthcare and regulated services
“Lifecycle/CRM marketer with hands-on ownership of high-volume, multi-channel programs in Salesforce Marketing Cloud, spanning strategy, build, QA, deployment, and post-campaign analysis. At Bosley Medical, they drove measurable business impact through rigorous segmentation, incrementality testing, and channel optimization, including a campaign that lifted show rate by 19%, consult conversion by 14%, and another messaging test that improved engagement by 22%.”
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”