Vetted A/B Testing Professionals

“Built and shipped a production RAG assistant using GPT-4, LangChain, and Pinecone/FAISS to search 50K+ institutional documents, with a strong focus on groundedness and hallucination reduction through retrieval optimization and re-ranking. Pairs this with a metrics-driven evaluation/monitoring approach (BLEU/ROUGE, manual sampling, logging) and workflow automation via Airflow, and has experience translating stakeholder needs into iterative AI prototypes.”

“Paid media and programmatic marketer who has owned $50K+/month accounts for collegiate recruiting, running large volumes of campaigns across display, search, audio, and CTV using Simpli.fi and Google Ad Manager. Notable for hands-on optimization through geo/targeting and dayparting changes—e.g., repositioning a restaurant lunch campaign to drive sell-outs by adjusting ad timing and targeting higher-value audiences.”

“Growth-creative lead focused on scaling paid acquisition profitably across Meta and Google (Search/PMax), with a rigorous testing approach that isolates creative impact and uses ROAS/CPA decision rules tied to breakeven thresholds. Strong in translating performance signals (drop-off, hook effectiveness, audience shifts) into concrete edit lists and modular UGC/influencer-driven creative systems for rapid iteration across Meta, TikTok, and YouTube.”

“Product designer at Felixphere working on a pivot from a SaaS marketplace to a SaaS management platform, designing end-to-end SaaS integrations and an AI concierge/agent experience. Drove a strategic shift from complex custom connectors to standardized connectors through user research and prototyping, aligning executives and reducing development effort; also shipped user-informed features like a contract/payment calendar to reduce operational friction for customers.”

“LLM/agentic systems builder who shipped production workflows at Angel Flight West and Eureka AI, combining LangGraph + RAG (Postgres/pgvector) with strong observability (LangSmith/Langfuse). Delivered large operational gains (address lookup cut from 10 minutes to 60 seconds; accuracy to 92%) and has a track record of quickly stabilizing customer-critical pipelines (Pydantic-enforced JSON for ETL) while partnering with sales/ops to drive adoption.”

“AI engineer at Cleveland Clinic building production LLM/NLP systems for radiology documentation, focused on HIPAA-aware, real-time performance across ~298 campuses. Re-architected infrastructure with AWS event-driven services to handle scaling and improved SLA compliance ~40%, and complements this with a personal multi-agent debate system (CrewAI) using local Llama/Mistral plus rigorous evaluation (A/B tests, red teaming, observability).”

“Built and deployed a production LLM/RAG clinical document understanding and summarization system for healthcare, focused on reducing manual review time while meeting strict accuracy, latency, and compliance needs. Demonstrates strong MLOps/orchestration depth (Airflow, Kubernetes, Azure ML Pipelines) and a rigorous approach to hallucination mitigation through layered, source-grounded safeguards and stakeholder-driven requirements with physicians/compliance teams.”

“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”

“Web product lifecycle professional with hands-on experience taking licensed sports merchandise from start-to-finish and publishing it live on a website. Tracks operational throughput and content/catalog health via daily/weekly metrics (products processed, image sourcing/uploading, catalog updates) and applies structured planning for event timelines.”

“Built and deployed an enterprise RAG application at Centene to help clinical teams retrieve insights from large internal policy document sets, cutting manual research by 30–40%. Implemented custom domain-adapted embeddings (SageMaker + BERT transfer learning) and hybrid retrieval (BM25 + Pinecone) to drive a 22% relevance lift, and ran the system in production on AWS EKS with CI/CD, MLflow, and Prometheus monitoring (99% uptime, ~40% latency reduction).”

“UX/Product designer with end-to-end experience on AI-driven products, including EduWave AI (learning platform for kids, parents, and teachers) and FlairX/Flarex AI (interview automation and AI scoring/benchmark reporting). Known for translating complex backend logic into clear, story-driven dashboards and validating designs through rapid prototyping and direct user observation; targeting founding design engineer roles in San Francisco.”

“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”

“Built Hexagon’s production Text-to-CAD Copilot that converts text and rough sketches into editable CAD code, combining GraphRAG (Neo4j/LangChain) with a Gemini-powered vision module and multi-agent geometric validation—cutting manual modeling from a day to ~45 seconds and driving retrieval latency below 50ms. Also has large-scale GCP data/ML orchestration experience (Airflow/Cloud Composer, Dataflow, Pub/Sub, Snowflake) processing 50M+ daily records with drift monitoring and automated reliability controls.”

“Growth marketing creative lead with experience at Starz and 3.5 years at mute6, spanning subscription acquisition and Shopify-based DTC/eCommerce. Drives Meta/TikTok/YouTube performance by pairing end-to-end creative production and UGC direction with data-led iteration (CTR/CPA/ROAS), including fatigue diagnosis and rapid refreshes.”

“Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.”

“Full-stack engineer with strong fintech/financial-systems experience who built an automated reconciliation and reporting system end-to-end (Python/Django/FastAPI + React, Docker on AWS), cutting reconciliation time by ~25% and improving audit traceability. Experienced designing typed REST APIs and Postgres data models, operating production workloads on AWS (EC2/Lambda/RDS/DynamoDB/CloudWatch), and building reliable ETL/integration pipelines with idempotency, retries, and reconciliation.”

“Marketing creative/design lead with a finance background who blends high-polish craft with scalable systems and automation. Led typography/visual narrative for an AI-developed short film using Firefly/Midjourney that won Gold at the NY Festivals AI Short Film Contest, and owned visual standards plus Flexitive-driven high-volume production workflows for Sherwin-Williams across digital/social/print.”

“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”

“CRM/lifecycle marketer with healthcare/practice-operations domain fluency who built highly targeted campaigns for a premium insurance-claims product, using customer data signals to find best-fit accounts and generating roughly $800K in incremental revenue. Experienced as a central hub coordinating sales, product, legal, design, pricing/billing, and leadership to deliver consistent messaging without overwhelming customers.”

“Growth/creative marketer with experience running end-to-end campaigns for a nonprofit (holiday giving via email) and optimizing app acquisition creative across major platforms (Meta/TikTok/YouTube). Emphasizes structured experimentation, dashboard-driven iteration, and building scalable processes (templates) while training creative teams on performance-oriented ad best practices.”

“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”

“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”