Vetted A/B Testing Professionals

“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”

“Marketing creative/designer with experience at Ushur creating enterprise-facing sales enablement and brand systems, focused on simplifying complex AI-driven product messaging without losing technical accuracy. Builds scalable Figma-based foundations and templated workflows (including lightweight short-form video) to support high-volume output across teams, using structured async collaboration via Slack and PDF markup reviews.”

“Data science/AI intern at University at Buffalo Business Services who built and deployed production systems spanning classic ML and LLM assistants. Delivered real-time competitor intelligence for a Cornell-partnered, $1B beverage launch by scraping/cleaning 5,000+ SKUs and deploying models via API, then built a domain-aware LLM assistant to modernize Excel-based workflows with strong grounding, privacy controls, and sub-5s latency.”

“B2B lifecycle/CRM marketer running highly technical scientific service-line campaigns (multi-omics, translational sciences, ddPCR) using HubSpot segmentation, lead scoring, and multi-channel execution (paid social, ABM, and content syndication). Delivered measurable pipeline impact (200+ leads, 120 MQLs) and improved conversions 5–6% through cross-functional ICP refinement and multivariate testing.”

“CTO/Chief Architect who rebuilt an IoT platform from a fragile legacy stack into an AWS-based, multi-tenant cloud-native system supporting 50k+ connected devices and 10M+ monthly events, then layered in real-time data pipelines and ML anomaly detection. Known for tightly aligning roadmaps and OKRs to business KPIs (onboarding speed, uptime, velocity) and for scaling teams into domain-focused pods; previously led a shift from LAMP to event-driven Node.js microservices using MQTT and message queues.”

“Chief-of-Staff / operations leader who has scaled creative and production organizations through hyper-growth, including growing a creative team from ~30 to 200+ while improving turnaround times and protecting margins. Acts as a founder force-multiplier by installing operating cadences, dashboards, and decision systems, and has built scalable editorial and motion-graphics pipelines tied to growth metrics (e.g., ~$2 CPI and seven-figure media spend scaling).”

“AI/LLM engineer who has shipped production systems end-to-end, including a note-taking product (Notey) combining audio/image capture, ASR, summarization, and a semantic chat agent over past notes. Also has applied ML experience in healthcare, collaborating directly with doctors to validate an EEG seizure-detection pipeline, and uses Kubernetes to optimize GPU usage for LLM training.”

“AI/ML manager who has deployed production NLP in healthcare—mining unstructured clinical notes and combining them with structured patient data to predict readmissions, with strong emphasis on data alignment and terminology normalization. Also experienced operationalizing ML with Airflow/MLflow and AWS Step Functions/SageMaker, plus stakeholder-facing Power BI dashboards (e.g., marketing customer segmentation).”

“Marketing-focused web and creative designer who ships conversion-oriented Shopify and WordPress redesigns, pairing premium UX/UI craft with practical SEO and measurement (metadata, analytics/KPI tracking, Search Console). Comfortable operating under strict brand guidelines (e.g., Microsoft/Disney) while iterating quickly with growth/product partners, and also produces lightweight, multi-format marketing videos in Adobe Premiere Pro.”

“Growth-creative and paid social marketer who runs funnel-informed creative experiments across Meta/LinkedIn (and adapts learnings to TikTok/YouTube), optimizing beyond CTR/CPL to MQL and qualified CPA. Demonstrated measurable impact by using modular creative systems, rigorous tracking (pixels + CRM events), and structured creator/editor direction to improve lead quality and downstream conversion.”

“Growth-creative marketer in the dental/clinic space who runs offer-led, multichannel acquisition campaigns (Google Ads + paid social + email/SMS) to lift bookings and lower CPA across underperforming locations. Builds flexible, location-specific frameworks and iterates modular creative (hooks/offers/CTAs) using platform-specific performance signals; has also directed video/landing-page creative tied to improved reviews and referrals.”

“Paid media specialist with experience owning high-spend ($50K+/month) B2B SaaS accounts across Google Search, LinkedIn, Meta, and TikTok. Demonstrated measurable pipeline impact (50% QoQ lift in Opportunities) through disciplined creative/audience testing and strong client communication, including successfully pushing back on a bid-strategy change that hurt conversions and restoring performance by returning to Max Conversions.”

“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”

“Audio designer/editor with a producer background who edits music and SFX as a compositional tool—shaping narrative tension in projects like a stop-motion horror short film and optimizing pacing for YouTube retention. Runs an end-to-end, template-driven post workflow (dialogue cleanup, bussing, automation, loudness targets, and stem deliverables) designed for fast, high-volume iteration.”