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.”

Edgar Abarca

Screened ReferencesStrong rec.

Director-level Graphic Designer and Corporate Marketing Leader specializing in brand systems and B2B design

27y exp

“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.”

Meng Yang

Screened ReferencesStrong rec.

Staff Software Engineer specializing in distributed systems, cloud platforms, and IoT

Columbus, OH21y exp

“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.”

Stephanie Kline

Screened ReferencesStrong rec.

Executive Content Strategy & Thought Leadership Leader specializing in B2B growth

North Carolina, US13y exp

“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).”

“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”

“Full-stack product builder with hands-on experience improving onboarding and reducing churn through guided tours, instrumentation, and A/B-tested feedback loops. They’ve also prototyped AI systems including a text-to-SQL RAG-based multi-agent workflow and built a real-time multiplayer React/TypeScript app on Supabase, while showing strong instincts around evaluation, UX, and production trade-offs.”