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Vetted A/B Testing Professionals
Pre-screened and vetted.
Mid-level UX/UI Designer specializing in web & mobile product design
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Senior UX/UI & Product Designer specializing in AI and Healthcare SaaS
Mid-level Unity Developer specializing in hybrid-casual live mobile games
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Director-level B2B/SaaS Marketing Automation & Demand Generation Leader
Mid-level Frontend Engineer specializing in React/Next.js and scalable web platforms
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Executive Full-Stack & E-commerce Engineer specializing in Magento, SEO, and web platforms
Mid-level Growth Marketer specializing in paid social and performance marketing
Senior Performance & Growth Marketing Leader specializing in paid media, automation, and analytics
Mid-level Unity Developer specializing in gameplay systems, XR, and multiplayer
Mid-level Product Designer specializing in UX/UI for mobile and web products
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Senior UI/UX & Product Designer specializing in design systems and high-craft visual experiences
Mid-level Digital Marketing & Analytics Associate specializing in SEO and BI dashboards
Senior SDET specializing in test automation, CI/CD, and performance testing
Mid-level Media Buyer specializing in Google Ads for e-commerce and lead generation
Arpit Kumar
Mid-level PPC & Performance Marketing Specialist (Google Ads, Meta Ads, GA4, GTM)
“Performance marketer focused on e-commerce growth, managing $60K–$80K/month budgets primarily on Google Ads with supporting Meta. Demonstrated disciplined testing and volatility control, improving ROAS from 3.8 to 5+ in ~3 months while scaling spend ~30% and keeping revenue stable. Strong in full-funnel cross-platform allocation (Google/Meta/TikTok) and systematic troubleshooting of performance declines.”
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”