Vetted A/B Testing Professionals

“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”

“Lifecycle/CRM marketer with hands-on HubSpot expertise who improves funnel performance by fixing data foundations (workflow logic + validation), then building lifecycle segmentation, nurture sequences, and measurement dashboards tied to CAC/ARR. Has driven measurable lifts in data accuracy, early lifecycle engagement, and lead qualification through targeted messaging and A/B-tested email optimization across companies including Wicket and Beekind.”

“Marketing creative designer with 7+ years fully remote experience who builds high-polish, scalable multi-channel campaigns across web, email, social, and motion. Led end-to-end creative for AWeber’s “One Galaxy Over” faux-brand initiative (7% lift in users creating email series) and spent 6 years at MeetMe’s internal agency producing desktop gaming product-marketing campaigns using assets from 100+ Fortune 500 brands, including interactive mini-game experiences that drove a 20% engagement increase.”

“Recent McCombs School of Business (UT Austin) Post Graduate Program graduate in Data Science & Business Analytics with hands-on project experience spanning stock clustering/segmentation and hotel booking-cancellation prediction. Strong in end-to-end analysis workflows (EDA, cleaning, feature engineering) and rigorous model comparison/selection, with exposure to boosting methods and imbalanced-data techniques; limited experience so far with embeddings/vector databases and production deployment.”

“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”

“Product intern at an AI startup (AdvisorGPT) who helped turn an LLM-based prototype into a production SEO blog-generation workflow that matched a firm’s tone/voice and targeted specific search phrases. Strong at bridging technical and non-technical teams, rapidly learning new AI tooling, and driving adoption through customer calls, UX improvements, and customer-facing demos/workshops.”

“Built and shipped a production RAG system (“TROJAN KNOWLEDGE”) for answering questions over technical PDFs, using a 3-stage retrieval stack (BM25 + FAISS + cross-encoder) to lift F1 from 71% to 84%. Drove major performance gains with a 3-level cache (memory/Redis/disk) cutting latency from ~200ms to ~10ms, and added Prometheus/Grafana monitoring plus LangChain-based fallback logic to handle OpenAI rate limits under load.”

“Marketing creative/motion designer focused on mobile game UA ads, producing high-polish short-form video creatives end-to-end (animation + sound) in After Effects/Cinema 4D. Experienced building Figma-based scalable systems and After Effects templates to generate high-volume variations, and iterating based on performance metrics (CPI/CTR/retention) with an 80/20 experimentation framework in a fully remote workflow.”

“Performance marketer with ownership of low-to-mid six-figure monthly spend across Google and Meta, combining SEO leadership with structured A/B testing and landing page optimization. Built cross-department Looker Studio reporting for spend, web, and revenue metrics, and delivered measurable impact including a 40% CPL reduction and significant ranking gains across ~1100 non-branded keywords.”

“Aspiring founder with ~15 years of experience across varied backgrounds, motivated by frustration with slow, change-resistant large organizations and a desire to bring innovative ideas to market. Familiar with how venture capital/accelerators function (though not directly worked in them) and expresses strong willingness to take entrepreneurial risks.”

“Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.”

“AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.”

“LLM/agent engineer at USAA who built a production GPT-4o RAG conversational assistant for financial analysts, focused on regulatory interpretation and internal documentation search. Emphasizes compliance-grade reliability with strict grounding, safe fallbacks, and full auditability via MLflow/DVC plus human-in-the-loop review; reports ~45% reduction in ticket resolution time.”

“Growth/partnership marketer who led Bird Heating & Cooling’s post-rebrand go-to-market and built trackable acquisition loops across Google Search, landing pages, email, and retargeting. Strong at converting local events/sponsorships into measurable leads using QR codes, UTMs, call tracking, and tight lead-routing workflows, and scaling repeatable partnership frameworks.”

“Full-stack engineer from Vagaro who owned an end-to-end rebuild of a sluggish WordPress sales site into a Next.js 15 app hosted on Azure, adding Hygraph headless CMS, SSR, i18n, and a reusable component library. Instrumented Amplitude + A/B testing/heatmaps and reports a 10% sales lift post-launch; also has AWS ops experience (S3/IAM/CloudWatch) and has built ingestion pipelines including LLM-powered unstructured data processing with dead-letter handling.”