Vetted A/B Testing Professionals

Rangel Koli

Screened

Entry-level Software Engineer specializing in backend and cloud systems

New York City, NY1y exp

“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.”

“CRM/lifecycle marketer from Lancer Skincare with hands-on ownership of high-volume promotional campaigns, especially complex subscription and discount scenarios. Stands out for combining rigorous QA, real-time issue management, and post-campaign analysis to improve both revenue outcomes and customer experience.”

Shabnam Jafari

Screened

Senior Performance Marketing Analyst specializing in paid media and e-commerce growth

Rancho Santa Margarita, CA10y exp

“Performance marketer with hands-on experience managing $30K-$50K/month across Google Ads and Meta, with clear strength in structured testing and funnel-based budget allocation. They cite measurable gains of 20% lower CPA and 25% higher ROAS, and demonstrated practical troubleshooting by identifying a landing-page-driven CVR drop and restoring performance quickly.”

Drashti Magia

Screened

Junior AI Engineer specializing in LLMs, multimodal ML, and applied machine learning

San Jose, CA3y exp

“Software engineer with a disciplined, production-minded approach to AI-driven development: uses ChatGPT, Claude, GitHub Copilot, and scoped coding agents to accelerate delivery without giving up architectural judgment. Notably applied a multi-agent workflow on ClinicOps Copilot, using agents for planning, Bedrock/RAG scaffolding, and failure testing while personally owning architecture, grounding quality, and end-to-end review.”

“iGaming product leader with 11 years of Product Owner experience, spanning QA automation (built a testing framework) through BA and ultimately PO for an online poker team for nearly 6 years. Has shipped and managed live web/mobile/tablet games and worked closely with compliance/UKGC on game certification and launches, using BI/data and player feedback to prioritize features and F2P retention mechanics (tournament ticket funnels, quests).”

sai anuragh Sangoju

Screened

Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP

Dallas, Texas4y exp

“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”

christina stratton

Screened

Executive CX & Brand Leader specializing in wellness and hospitality growth

Asheville, NC26y exp

“Multi-startup founder/part-owner with experience raising capital across stages (friends & family/angels through VC/PE) for a tech platform and a skincare/beauty brand, including building pitch decks and financial models. Also built a boutique wellness services firm by winning hotel/spa accounts from a larger competitor and ultimately sold the business to that competitor.”

“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”

“Analytics-focused candidate with hands-on experience in both supply chain data and AI product analytics. They have built SQL and Python pipelines for messy ERP/inventory data as well as high-volume user event data, and have driven experimentation, retention measurement, and dashboarding for AI avatar and voice/image cloning features.”

“Lifecycle/CRM marketer from Churchome who led a mobile app onboarding and re-engagement program using behavior-based segmentation, in-app/push messaging, and AI-assisted chat. Drove ~20% lift in early-stage engagement, improved 30-day retention, and reduced support load through automated chat flows and rapid A/B-driven iteration.”

Elliot Huscher

Screened

Director-level FinTech and Product Leader specializing in AI recruiting and iOS voice apps

Sacramento, CA8y exp

“Built a production voice-first fitness coaching/logging system ("Hey Coach") that routes headphone audio, transcribes speech, and uses LLMs to parse workouts into structured data with human-in-the-loop QA and A/B-tested improvements. Also brings a commercial background: led capital markets at a Series A fintech securing $250M+ in commitments and drove early GTM at WorkHQ.com, landing its first Fortune 500 customer.”

Alastair Pavrey

Screened

Senior startup operator specializing in strategy, operations, product, and venture capital

Mumbai, India11y exp

“Healthtech operator and former co-founder who helped pivot a startup from VR software for neurological patients to an accessible home-based physiotherapy model, scaling it from zero to 2 Crore ARR. Also brings venture ecosystem exposure through work with Array Ventures, Pentathlon Ventures, and V3 Ventures, combining founder-side execution with investor-side pattern recognition.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“Backend/data engineer with hands-on production experience building a real-time notification API on Flask/Celery/Postgres and scaling it on AWS with Docker, Redis queuing, and SQLAlchemy query optimization. Also delivered AWS serverless deployments (Lambda) using Terraform + GitHub Actions and built AWS Glue ETL pipelines from S3 to Redshift with CloudWatch monitoring and DataBrew data quality checks.”

“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”

“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”

“Growth and CRM marketer with hands-on lifecycle experience across healthcare, privacy tech, and crypto. Has worked end-to-end on acquisition, onboarding, retention, and automation, including helping ProtonMail scale inbound search traffic past 1M monthly users while improving ROAS and lowering CAC.”

“Longtime Aptima product leader who turned a nominal DoD measurement 'suite' into a configurable cross-branch performance assessment platform deployed to Army, Navy, and Air Force users. Brings a rare mix of defense training, human performance science, AI/cybersecurity product work, and deeply user-centered UX thinking, including innovations like video tagging for live evaluation workflows.”

“Unity game developer who shipped a major core-mechanic change (“bowler quality”) for a bowling-sim game, using Firebase A/B testing and analytics to find the right difficulty/monetization balance and adding targeted onboarding to address player confusion. Also refactored a Photon-based multiplayer matchmaking/initialization “waterfall,” fixing a long-standing async host-selection bug that caused infinite loading.”

“Outbound sales candidate with a thoughtful, process-driven approach to prospecting, combining cold calling, email, and LinkedIn into coordinated campaigns. Stands out for using account research, stakeholder mapping, and messaging experiments to improve response rates and book qualified meetings with director- and VP-level buyers.”

Katie Sullivan

Screened

Senior Product Manager specializing in K-12 EdTech SaaS and AI

Houston, TX13y exp

“Edtech product leader with hands-on experience building from zero to MVP, pivoting based on user research, and shipping both AI tutoring and content recommendation products. They combine strong human-centered AI judgment with practical execution across K-12 learning workflows, global hardware/software collaboration, and team leadership.”

Craig Almand

Screened

Director-level Paid Media & Marketing Analytics Leader specializing in Google and Meta advertising

Scottsdale, AZ22y exp

“Performance marketer who built and scaled digital acquisition for GovVacationRewards.com from limited performance marketing to a multi-channel system across Google/MS/Facebook, using geo-fencing, video + search remarketing, and funnel optimization. Delivered major efficiency gains (sub-$8 CPA) and growth to 10K+ monthly enrollments on $75–80K spend, while also improving brand reputation and tying results to subscription-driven ROAS (reported up to ~16x). Prefers contract/freelance roles with an option to convert full-time.”