Vetted A/B Testing Professionals

“Paid media specialist who owned a $75K+/month veterinary franchise account, primarily on Google Ads and Google Local Services Ads, focused on scaling acquisition while holding a Target CPA of $85. Uses a disciplined bi-weekly testing and optimization framework (search terms, negatives, landing page lead flows, bidding tests) and reports driving ~18% MoM revenue growth while improving ROI and reducing CPA.”

“Built and shipped production LLM systems at Founderbay, including a low-latency voice agent and a graph-based multi-agent research assistant. Strong focus on reliability in real workflows—hybrid SERP + full-site scraping RAG, grounding guardrails, validation checkpoints, and transcript-driven evaluation—plus performance tuning with async FastAPI, Redis caching, and containerization. Also partnered with a non-technical ops lead to automate post-call follow-ups via call summarization, field extraction, and tool-triggered actions.”

“Performance media buyer focused on content/search arbitrage and native advertising, managing $100K+/month budgets across Taboola, Outbrain, MGID, Zemanta, Newsbreak, and MediaGo. Emphasizes systematic creative/placement/bid testing and rapid optimization, citing ~20–30% RPM improvement while scaling spend and recovering ROI quickly after performance drops.”

“Performance marketer with experience owning a high-spend B2B SaaS account (>$100K/month) primarily on Google Ads, generating ~80 quality leads/month. Uses A/B testing across landing pages, ad copy, and keywords and reports results via Looker/Power BI with a KPI-driven approach to scaling and troubleshooting.”

“Growth/marketing operator with strong partnership and outbound expertise: built an outbound email engine that became the #1 revenue-driving marketing channel (30% open rate, 9% CTR, 9/10 HubSpot Health Score) while maintaining CASL/CAN-SPAM compliance. Also runs measurable partnership programs using UTMs/GA and executes acquisition experiments across AEO (schema/content), YouTube, and Reddit—driving new clients and close-won opportunities via LinkedIn network effects.”

“Built and deployed a production LLM-driven document understanding pipeline using LangChain/LangGraph, focusing on reliability via step-by-step prompting, validation checks, and monitoring. Also partnered with non-technical marketing stakeholders at Heartland Community Network to deliver an XGBoost targeting model surfaced in Power BI, improving campaign conversion by 12%.”

“Growth-creative/performance marketer who owned end-to-end paid social creative testing for Shoebacca’s seasonal footwear launch, driving ~22% CPA reduction and ~30% ROAS improvement by shifting from product-focused ads to UGC with stronger early hooks and clearer value messaging. Experienced translating platform-specific performance signals into modular creative iterations across Meta, TikTok, and YouTube, and aligning performance + creative teams via structured briefs and weekly review cadences.”

“Product/LiveOps leader who applies free-to-play mechanics to live consumer products; led monetization and engagement for Pavo (video-based Gen Z dating app on iOS/Android), addressing weak D7 retention and low free-to-paid conversion. Implemented progression, nudges, soft paywalls, experimentation, and real-time moderation, driving 3.2x DAU and ~60% lift in early engagement while improving conversion without harming retention.”

“Built and deployed a production LLM/RAG intelligent document understanding platform for healthcare clinical documents (notes, discharge summaries, diagnostic reports), integrating spaCy entity extraction, Pinecone vector search, and a Spring Boot API on AWS with monitoring and guardrails. Demonstrates strong MLOps/orchestration (LangChain, Airflow, Kubeflow/Kubernetes) and a metrics-driven evaluation approach, and partnered with a healthcare operations manager to cut manual review time by 80%.”

“Operations leader and advisor (former COO at College Partnership; also worked with Founders Advisors) who rebuilds and scales early-stage operations using Lean Startup experimentation and KPI-driven execution. Notably centralized a call-center function, implemented scripts/SLAs/metrics, and iterated staffing based on conversion and response-time data while mentoring non-ops founders on MVPs, SMART goals, and tactical operating plans.”

“Engineering leader who modernized infrastructure by migrating a ~100-server co-location setup to AWS/GCP with IaC, auto-scaling, and fault-tolerant design, reducing hardware upgrade burden. Also led a key analytics architecture shift from MySQL to ClickHouse to enable highly granular ad revenue attribution and profitability insights, while scaling the dev org from 2–3 to ~12 with stronger CI/testing and review processes.”

“Performance marketer who owned $50K+/month spend across Google, Meta, and Microsoft for Wild Earth Dog Food, turning Google into the top revenue channel and citing 10x month-over-month revenue growth. Strong focus on continuous A/B testing (VWO) across creatives, copy, landing pages, audiences, and bid strategies, plus hands-on troubleshooting of tracking/pixel issues and clear client-facing reporting.”

“Performance marketer focused on high-intent lead generation, with experience managing $80K+/month spend for a home services lead-gen business (bathroom/windows/roofing). Runs an intent-based full-funnel system across Google Search/LSA, Meta prospecting + retargeting, and selective Performance Max, using bottleneck-driven, statistically disciplined testing to scale while protecting lead quality.”

“LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.”

“Backend/data engineer with hands-on production experience across Azure and AWS: built FastAPI + PostgreSQL services with Azure AD OAuth2/JWT auth and strong reliability patterns (timeouts, retries, correlation IDs). Delivered AWS Lambda/ECS solutions with Terraform/CI-CD and cost controls (SQS buffering, reserved concurrency), and built/operated AWS Glue ETL pipelines into Redshift while modernizing legacy SAS reporting into Python microservices with parity testing.”

“Paid media performance marketer focused on DTC growth, owning high-spend Meta/Google accounts and executing a rigorous creative-led testing and scaling framework. Diagnosed a major efficiency decline (MER ~45%) and reversed it by fixing creative/copy and funnel-message mismatch, ultimately driving 259% sales growth in 2 months while bringing MER below 20%.”

“Built and deployed production NLP/LLM systems including a multilingual (5-language) health misinformation detection pipeline with latency optimization (batching/quantization/caching) and explainability (gradient-based attention visualizations). Experienced orchestrating end-to-end AI workflows with Airflow and Prefect, and partnering with customer support ops to deliver an AI agent for ticket summarization and priority classification with clear, measurable acceptance criteria.”

“B2B growth and partnerships operator with experience at Convera leading GTM for a cross-border payments offering and driving a ~17% lift in qualified leads through refined positioning and multi-channel activation. Has run data-driven funnel experiments (Dentacloud) and built association-based co-marketing partnerships measured through both top-of-funnel engagement and downstream pipeline influence.”

“Lifecycle/CRM marketer at Datazoic who builds post-onboarding activation and retention programs end-to-end, partnering with Analytics for behavioral segmentation and running rigorous A/B tests across messaging, timing, and CTAs. Also orchestrates cross-functional product feature rollouts (Product/Creative/Analytics) to align customer messaging with in-product experience, driving high engagement and fewer customer inquiries.”

“Led an end-to-end build of bhangrascape.ca, making key architecture choices across Next.js/Node/Postgres on AWS and implementing S3-based media storage with presigned URLs. Strong focus on quality and reliability via Zod validation, Jest tests, Postman endpoint testing, and CI/CD with GitHub Actions, plus hands-on UX ownership from Figma prototyping through reusable React components and A/B testing.”

“At Trellis, built and shipped a production multi-agent, authenticated GenAI chatbot for sensitive financial account inquiries (loan/payment lookups), using dynamic model routing to control latency and cost while improving accuracy. Implemented prompt-injection defenses (Meta Prompt Guard), RAG with LangChain, and LLM-as-a-judge evaluation; the system cut manual support call volume by 40%+ and was refined through close collaboration with QA-driven user testing.”

“Built and deployed a transformer-based clinical document classification system that processes unstructured clinical notes in a HIPAA-compliant healthcare setting, served via FastAPI on AWS and integrated into an Airflow/S3 pipeline. Demonstrates strong end-to-end MLOps skills (data quality remediation, low-latency inference optimization, monitoring with MLflow/CloudWatch) and effective collaboration with clinicians to drive adoption.”

“Built and deployed an LLM-to-SQL automation system in a closed/internal environment, using a retriever–reranker–validator architecture on Kubernetes with strong security controls (semantic + rule-based validation and RBAC), achieving 99% uptime and cutting manual query time ~40%. Also worked on genomic sequence classification and semantic search workflows, orchestrating data prep with Airflow, tracking/deploying with MLflow, and optimizing distributed multi-GPU training on a university Kubernetes cluster.”