Vetted A/B Testing Professionals

“Growth/partnerships-focused operator with experience in early-stage B2B GTM and creator/education-adjacent ecosystems. Helped increase brand credibility by bringing a psychiatrist on as a pedagogic consultant and launching a learning-disabilities podcast, contributing to 2 new B2B partnerships in a year and opening sponsorship opportunities; also uses LinkedIn warm outreach and cold outbound (email/calling) to reach decision makers.”

“Built and deployed a production RAG-based internal document Q&A system using LangChain, vector search, and a dockerized FastAPI LLM service. Focused on reliability by systematically reducing hallucinations and improving retrieval through prompt grounding/abstention strategies, chunking and top-k tuning, and iterative evaluation with logged metrics and manual validation.”

“Built a voice-driven desktop assistant for users with mobility impairments, integrating Whisper and Google Gemini and adding voice-authentication via speaker embeddings for secure command execution. Has hands-on experience with AWS serverless/microservices patterns (Lambda, S3, CloudFront, CloudWatch) and CI/CD, plus built an internal MySQL-to-MongoDB migration tool used by the CTO and dev team with an emphasis on safe, low-impact data transformation.”

“ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.”

“AI/LLM engineer who has shipped production RAG and agentic systems end-to-end (LangChain/FAISS, OpenAI+Gemini, FastAPI, Docker, Streamlit), focusing on retrieval quality and low-latency performance. Also partnered with a non-technical PM at deepNow to deliver a forecasting + summarization pipeline for daily market insights with iterative prototyping and a simple UI.”

“Unity developer with strong real-time 3D and mobile performance optimization experience (rendering, memory, GC), building interactive environments and physics-based interactions. Built a mobile Unity game prototype largely solo end-to-end, emphasizing state-driven architecture and clean separation between game logic, UI, and data—skills that translate directly to AR/VR despite no shipped Meta Quest titles.”

“LLM/RAG engineer at Connex AI who built and deployed a production healthcare agent to extract clinical insights from medical data/notes. Strong focus on real-world reliability—hallucination mitigation (citations, schema validation, confidence thresholds, rejection logic), custom LangChain orchestration (query rewriting, fallback paths), and production evaluation/observability—while collaborating closely with clinical SMEs to ensure clinical fit and time savings.”

“Research Analyst at Syracuse who deployed an LLM-powered lab automation system allowing researchers to run QCoDeS instrument workflows via natural language, with strong safety guardrails for real instruments and multi-instrument support. Also collaborated with non-technical stakeholders at iConsult on an audio classification/recommendation pipeline, translating business goals into metrics and Tableau dashboards with model comparisons and A/B test results.”

“Unity VR developer who has shipped multiple Meta Quest games and navigated strict Meta QA/product requirements, with a strong focus on profiling-driven FPS optimization. Co-developed the Meta-delivered title "Shark Bait VR" (2-person dev team), tackling VR comfort (anti-nausea swimming), realistic rope behavior, and fish AI, and has also implemented cross-platform mobile push notifications via Firebase/APNS with Jenkins+CocoaPods.”

“UX Designer who has shipped end-to-end mobile and web experiences, including a student library companion app integrated with Canvas to reduce navigation friction and overwhelm. Also built information architecture and navigation for a bead e-commerce site (Beadalon) using Miro/WordPress/WooCommerce and validated improvements via analytics. Has experience designing a mental-health journaling companion with guided prompts and sketching based on student interviews and prototype testing.”

“Creator/KOL partnerships and growth professional with experience at BingX, driving multiple seven-figure revenue partnerships through referral-led scaling. Uses incentive-aligned deal structures (commission vs upfront), A/B testing, and community/event-based activations (e.g., trading signals) to lift revenue (reported +50%) and build long-term creator relationships.”

“Frontend engineer with deep experience in crypto/fintech products, including leading a Next.js/TypeScript crypto wallet and microfrontend platform at 200–300k daily transactions and building a real-time trading dashboard. Strong in scalable architecture (microfrontends + BFF), quality systems (Storybook, testing, Sentry), and performance optimization (including a 30% bundle-size reduction), with proven feature-flagged rollouts and iterative delivery.”

“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”

“Performance marketer who scaled a digital education product using Meta and Google Ads, growing from ~$40K to $200K monthly revenue while increasing spend, then reaching $800K revenue in a single month on $70K ad spend (ROAS 10). Strong in direct-response funnel optimization (creative, landing page, checkout, offer/AOV) with disciplined testing methods (sample size validation, URL split testing) and clear client communication.”