Vetted A/B Testing Professionals

“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”

Pranali Redij

Screened ReferencesStrong rec.

Marketing Analytics & Marketing Operations professional specializing in CRM and automation

Syracuse, NY4y exp

“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.”

“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.”

William Armstrong

Screened ReferencesStrong rec.

Junior Product Engineer specializing in AI and SaaS

San Francisco, CA1y exp

“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.”

brendan center

Screened ReferencesStrong rec.

Director-level performance marketing leader specializing in paid media and growth acquisition

Largo, FL14y exp

“Digital Marketing Director with 15+ years in marketing and 6 years at National Safety Commission, personally owning strategy, execution, and accountability for roughly $1.8M-$2M in monthly paid media spend across search and social. Particularly notable for adapting large-scale PPC programs to AI-driven changes in Google Ads, restructuring campaigns and pricing/messaging strategy to drive an 8% ROAS lift and 10-12% sales growth.”

Eric Roth

Screened ReferencesStrong rec.

Senior Motion Designer & Video Editor specializing in high-impact animated marketing content

Boca Raton, FL20y exp

“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.”

“ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.”

“Product leader with experience driving a major international digital platform overhaul at ESPN, unifying fragmented sports properties and delivering a 30% retention lift. More recently, they have been building a human-centered AI mental health product focused on provider-guided follow-up, and they bring a personal, long-standing commitment to educational equity through tutoring and community math programs.”

“Startup product designer with a CS background who operates at the intersection of UX, product strategy, and implementation. They have owned 0-to-1 design systems, led a research-backed pivot of Fluffle from a solo job tracker to a multiplayer productivity app, and specialize in trust-building UX for AI-native products while working closely enough with engineers to influence production quality.”

“Software engineer with hands-on experience shipping production AI agents and end-to-end ecommerce workflows. They built a customer support automation agent with strong guardrails and evaluation practices, then improved it post-launch using real user data to cut latency ~30% and token cost ~25%. Also drove a zero-to-one self-serve order modification product across React UI, backend services, and cross-functional alignment.”

Jay Johansson

Screened

Senior Growth & Digital Marketing Manager specializing in performance, SEO, and demand generation

21y exp

“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.”

Shane Weinstock

Screened

Senior Data Scientist & Product Analytics Leader specializing in ML and experimentation

Austin, TX17y exp

“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.”

Siva Pothuru

Screened

Mid-level AI/ML Engineer specializing in LLMs, MLOps, and cloud-native ML

San Antonio, TX5y exp

“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.”