Vetted A/B Testing Professionals

“Early-career game developer with 4 years of university game development plus multiple game jams, contributing across coding, art, and planning. Has shipped small PC/mobile projects and published on itch.io, tracking views/downloads and thinking about engagement metrics and IAP A/B testing for larger-scale live games.”

“Backend engineer who built an Emergency Alert System with Virginia Tech for the City of Alexandria, focusing on real-time ingestion, secure dashboards, and AI-assisted prioritization. Emphasizes high-stakes reliability with guardrails (hybrid rules+LLM, confidence-based fallbacks), scalable async processing, and defense-in-depth security (JWT/RBAC plus database row-level security).”

“Performance marketer managing multiple high-spend accounts across Grouped Stalls and Donor Media, overseeing $100K+/month across Google Ads (Search/Shopping/Display/YouTube), Microsoft Ads, Meta, TikTok, and affiliate networks (Rakuten, ShareASale). Experienced in both e-commerce (ROI/ROAS-driven) and lead generation (CPL/CPA-driven) programs, with a structured A/B testing and budget reallocation approach grounded in statistical significance and MoM/YoY analysis.”

“Research assistant at St. Louis University who built and deployed a production document-intelligence RAG system (Python/TensorFlow, vector DB, FastAPI) on AWS, focusing on grounding to reduce hallucinations and latency optimization via caching/async/batching. Also developed a personalized recommendation system for the Frenzy social platform and partnered closely with product/UX to define metrics and iterate on hybrid recommenders and cold-start handling.”

“Paid media performance marketer with experience running $50K+/month Meta/Instagram campaigns in healthcare (revision bariatric surgery), optimizing for patient CAC and booked surgeries rather than just CPL. Uses creative-first testing (testimonial/video-led) and conversion signal feedback via Meta Pixel + Conversion API, and applies a structured full-funnel budget allocation approach across Meta/Google/TikTok.”

“Performance-focused paid social creative lead with deep Meta experience in DTC/eCommerce for a bridal brand, owning strategy, briefs, testing, and QA while delegating production. Known for rapid iteration (8–12 variants/week) and measurable lifts (2.8 ROAS; CPA down 25%+), plus strong UGC direction and landing-page alignment that materially improves conversion.”

“Built a production LLM/RAG document extraction and game/quiz content workflow using LLaMA 2, LangChain/LangGraph, and FAISS, achieving ~94% accuracy and reducing turnaround from hours to minutes. Demonstrates strong applied MLOps/orchestration (CI/CD, MLflow, Databricks/PySpark), robust handling of noisy/variable document layouts (layout chunking + OCR fallbacks), and practical reliability practices (human-in-the-loop routing, drift monitoring, A/B testing).”

“Performance marketer with ecommerce experience at Rocky Mountain Oils managing $120K+/month across Meta and Google, building a full-funnel system that ties paid media to Klaviyo email flows and Attentive SMS. Known for promotion-led scaling (e.g., BOGO launches) with granular retargeting segments and rapid creative pruning, driving a 22% ROAS lift and 130% increase in Klaviyo flow sales.”

“Paid media/SEM owner at Pulseway managing $180K–$230K monthly spend across Google Ads, Microsoft Ads, and Capterra, with a strong emphasis on MQL quality and MQL-to-opportunity conversion rather than lead volume. Runs disciplined, controlled testing across creative, keywords, audiences, and bidding (including Performance Max), and partners closely with sales feedback to reduce junk leads and improve pipeline contribution.”

“Performance marketer currently running paid media for Network Glasses, managing a $50K+/month budget (heavily weighted to Google) and focused on conversion/in-app event goals. Reports driving a ~50% reduction in cost per purchase conversion through disciplined creative testing, funnel analysis, and bidding/CPA optimization across Google, Meta, and TikTok.”

“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.”

“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/AI engineer with internship experience building an AI-powered financial insights platform (FastAPI, Redis, BigQuery) and prior HCL experience leading a monolith-to-microservices refactor (Flask, Kafka) using blue-green deployments. Demonstrates strong performance/security focus (OAuth/JWT/RBAC, encryption) and measurable impact on latency, downtime, and ML model reliability; MVP was submitted to Google’s accelerator program.”

“Paid media performance marketer managing $50K+/month spend across Meta and Google for eCommerce and lead-gen, with a strong creative-testing orientation (UGC/video vs static) that produced ~25–30% lower CPA and ~35% higher ROAS when scaled. Builds full-funnel systems across Meta/TikTok (demand gen) and Google Search/PMax (high-intent capture), using marginal ROAS/CPA, frequency-based fatigue signals, and statistically grounded testing to scale or cut campaigns.”

“LLM engineer who has deployed a production system combining LLMs with causal inference (DoWhy) to enable counterfactual “what-if” analysis for experimental research, including a robust variable-mapping/validation layer to reduce hallucinations. Also partnered with non-technical operations leadership at Irriion Technologies to deliver an AI-assisted onboarding workflow that cut onboarding time by 50% and reduced manual errors by ~40%.”

“AI/LLM engineer who has shipped a production RAG platform at Ticker Inc. on GCP (Qdrant + Postgres) delivering sub-second retrieval over 550k+ items, with measurable gains in latency and answer quality (HNSW optimization, MMR re-ranking). Also built an asynchronous LangChain/LangGraph multi-agent research system (10x faster cycles) and partnered with Indiana University doctors on synthetic patient records and ML error analysis using clinician-friendly F1/loss dashboards.”

“AI/LLM engineer with production experience building an LLM-powered investment recommendation system using RAG and chatbots, deployed via Docker/CI/CD and scaled on Kubernetes. Demonstrated measurable performance wins (sub-200ms latency) through QLoRA fine-tuning and TensorRT INT8/INT4 quantization, plus strong MLOps/orchestration background (Airflow ETL + scoring, MLflow monitoring) and stakeholder-facing delivery using demos and Tableau dashboards.”

“Designed and deployed end-to-end LLM-powered AI agent systems to automate knowledge-intensive workflows across marketing/GTM, recruiting, and support. Brings production reliability rigor (evaluation pipelines, monitoring, testing, A/B experiments) plus orchestration expertise (Airflow, Prefect, custom Python) and a track record of translating non-technical stakeholder goals into working AI solutions (e.g., personalized customer engagement agent at Lara Design).”

“Growth-creative marketer focused on direct-response performance across Meta, TikTok, and YouTube, with hands-on experience building and iterating UGC ad systems. Led a creative shift for a skincare brand from polished studio content to benefit-led UGC, resulting in ~15–20% lower CPA and improved ROAS, and established the winning structure as the new baseline for future iterations.”

“Growth-creative/performance creative specialist focused on UGC-led paid social across Meta, TikTok, and YouTube. Uses structured creative testing (e.g., hook/angle matrices) and modular asset systems to iterate quickly; cited a campaign that lifted efficiency (25% CPA improvement, ROAS 1.8x→2.4x) and then scaled spend ~60% while maintaining performance.”

“LLM/RAG practitioner who has taken a support-ticket triage automation system from prototype to production, building the full pipeline (fine-tuned models, FastAPI inference services, vector storage, monitoring) and delivering measurable impact (~40% reduction in triage time). Demonstrates strong operational troubleshooting of LLM/agentic workflows (observability-driven debugging, fixing agent routing/looping) and supports adoption through tailored demos and sales-aligned technical communication.”

“Sales/BD professional from startup environment (Gigaspaces) who personally owned outbound motions and built multi-step, multi-channel sequences that produced record-breaking quality meetings. Uses LinkedIn Sales Navigator for targeted prospect research, prioritizes C-level decision makers, and applies A/B testing plus AI/automation to scale and improve messaging performance.”

“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”

“Performance marketer specializing in full-funnel paid media across Google (PMax, Display, YouTube), Meta, and TikTok, with recent ownership of a $100K–$150K/month residential roofing account. Focuses on lead quality and measurement rigor (GA4 engagement validation, call tracking cleanup, disciplined single-variable testing), driving a 30% CPA decrease and 75% lift in qualified leads.”