Vetted A/B Testing Professionals

“Candidate gained startup-facing sales experience at Larson, where they helped build a more consistent outbound pipeline targeting founders, operators, and mid-market decision-makers. They stand out for using early company signals like hiring spikes and recent funding to prioritize accounts, improve reply and conversion rates, and influence broader targeting strategy.”

“CEO & co-founder of Spotlight Creators, a digital platform for visual artists, which they took from idea validation (100 artist interviews) to a live product with 50+ artists and 50+ customers. Drove GTM through hands-on social content across Instagram/YouTube/TikTok, ran local artist spotlight events, and pursued fundraising via cold outreach and acceptance into Launch NY while building skills in pitch decks, financial projections, and ARR modeling.”

“Built and deployed an agentic RAG platform at Centene Health to support healthcare claims and complaints workflows (Q&A for claims agents, executive complaint summarization, and compliance triage/classification). Experienced in LangChain/LangGraph orchestration, production deployment on AWS with FastAPI/Docker/Kubernetes, and implementing HIPAA-compliant guardrails to reduce hallucinations and ensure explainable outputs.”

“Backend/data engineer with hands-on AWS serverless and data platform experience: built a Lambda-based reCAPTCHA/token validation + SES subscription workflow and designed Glue ETL pipelines producing Parquet datasets for Athena. Also led a high-traffic multilingual media CMS modernization at Radio Free Asia by migrating to Arc XP using parallel runs, phased rollouts, feature flags, and rollback plans.”

“Frontend engineer/product lead with experience building a Tableau-like data visualization dashboard at StradigiAI, including a scalable SQL-like query/filter approach for high-volume data. At LogMeIn/GoTo, migrated a TypeScript React product from Redux to React Query with shared state abstractions across web, Electron, and React Native, and helped leverage a design system to support a rapid company rebrand.”

“Built and shipped a production GPT-4 + RAG customer support chatbot that materially improved support operations (response time 4 hours to <3 minutes; ~65% tier-1 ticket automation). Demonstrates strong end-to-end LLM engineering across retrieval (Sentence Transformers/Pinecone), safety (multi-layer moderation), cost/latency optimization (caching/streaming, Celery/Redis), and rigorous evaluation/monitoring (shadow deploys, Datadog, 500+ test cases), plus proven stakeholder buy-in leading to 80% adoption.”

“Built and productionized a clinical NLP + patient risk stratification platform at Dermanture, combining Spark/PySpark pipelines with BERT/BioBERT for entity extraction and text classification and downstream risk models in TensorFlow/scikit-learn. Experienced running regulated, auditable ML workflows with Airflow and AWS SageMaker, emphasizing data validation (Great Expectations), drift monitoring, and explainability (SHAP) to drive clinician trust and adoption.”

“AI engineer who shipped a production KYC facial liveness/recognition pipeline (10k+ monthly verifications), including an on-prem, GPU-hosted Qwen3-VL vision-language fallback to detect spoofing/replay attacks. Also helped build a deterministic multi-agent orchestration layer powering a marketplace with Solana on-chain payments, abstracting blockchain complexity behind an API, and has experience translating real-world needs from non-technical stakeholders (construction) into practical document-reading solutions.”

“Mobile F2P product leader (11+ years) who has built and published multiple games—most notably Hexa Sort—into multi-million-dollar IPs with publishers like Lion Studios (AppLovin), Voodoo, and Tango. Known for rigorous, data-driven monetization and engagement optimization (months-long multi-variant testing, activation milestone discovery, ROAS-focused launch tuning) and for leading cross-functional teams across product, growth, and data.”

“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.”

“Engineering leader/player-coach who redesigned A/B testing and observability infrastructure for real-time audio/video features at 90M+ DAU scale, using Kafka-based ingestion and horizontally scalable aggregation for near real-time metrics. Managed 10–15 engineers, drove >20% infrastructure cost reduction without user-experience regressions, and led major peak-traffic incident response with lasting reliability improvements (load testing, capacity planning, alerting, pre-mortems).”

Albert Aleksanyan

Screened

Senior Unity Technical Lead specializing in multiplayer game development

Yerevan, Armenia9y exp

“Unity game developer with shipped mobile engagement features (daily missions + streaks) that improved D1/D3 retention and session length through analytics-driven iteration. Also built real-time multiplayer runner gameplay using Photon Fusion, implementing prediction, movement sync, and host-authoritative hit validation for fair play under latency.”

Marion Villanueva

Screened

Mid-level Warehouse & Operations Supervisor with logistics and shift management experience

Gillingham, United Kingdom6y exp

“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.”

Vaishnavi M

Screened

Mid-level AI/ML Engineer specializing in MLOps and Generative AI

5y exp

“At Liberty Mutual, built a production underwriting decision assistant combining LLM reasoning with quantitative models and strong auditability. Implemented a claims-based response verification pipeline that cut hallucinations from 18% to 3% and materially improved user trust/validation scores. Experienced orchestrating ML/LLM workflows end-to-end with Airflow, Kubeflow Pipelines, and Jenkins, including SLA-focused pipeline hardening.”

Sam Fish

Screened

Senior Full-Stack Engineer specializing in web platforms, cloud infrastructure, and data systems

Culver City, CA5y exp

“Full-stack/product-leaning engineer who owned an end-to-end AI Tutor feature (Claude-powered) shipped simultaneously to iOS/Android/web via Expo, with Cloudflare Workers backend and PostHog analytics. Built the company’s GitHub-based CI/CD to coordinate app store releases with backend blue/green deployments. Also has significant data engineering experience (including ~8TB/day workloads) using dbt/Fivetran plus sharding and hashing-based diffing for correctness.”

Jaykumar Kotiya

Screened

Mid-level Machine Learning & AI Engineer specializing in Generative AI, NLP, and MLOps

Boston, MA6y exp

“Built and deployed production LLM systems for summarizing sensitive legal and financial documents, emphasizing GDPR-aligned privacy controls and scalable hybrid cloud architecture. Experienced with Kubernetes/Airflow orchestration and rigorous testing/monitoring practices, and has delivered measurable business impact (18% conversion lift) by translating AI outputs for non-technical marketing stakeholders.”

Sufyan Shaikh

Screened

Director of Growth Marketing specializing in multi-channel acquisition and attribution

Remote, Canada9y exp

“Growth and partnerships leader spanning creator ecosystem and B2B SaaS GTM. Drove measurable revenue outcomes by combining performance-based creator deals (including whitelisting/retargeting and geo lift testing) with a repeatable demand engine using Google Search, LinkedIn ABM, AI-personalized outbound, and HubSpot automation—scaling MRR from $15K to $110K and lifting trial-to-paid conversion from ~3.4% to ~9% via persona-based onboarding.”

Nilsen Humphrey

Screened

Mid-level Event Marketing Manager specializing in audience growth and brand strategy

Los Angeles, CA6y exp

“Lifecycle/CRM marketer in the live events space (LA Comic Con) who builds segmented post-purchase journeys in Mailchimp using ticketing/CRM data. Demonstrated measurable impact (25% lift in hotel conversions; ~58% open rate) and strong cross-functional execution across creative, merchandising, and operations, including premium VVIP product launches and on-site experience design.”

prashanth Jamalapurapu

Screened

Mid-level AI/ML Engineer specializing in data engineering, LLM/RAG pipelines, and recommender systems

5y exp

“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.”

Jasveer Hira

Screened

Mid-level Sales and Business Development leader specializing in financial services

Remote, USA3y exp

“Healthcare-focused B2B seller with experience closing complex enterprise and PE-backed deals for AI-enabled diagnostic solutions. Stands out for building outbound and messaging systems from scratch in low-structure environments, generating $3M+ pipeline and $1M+ in new annual revenue while closing a flagship deal that alone put them at 125% of quota.”

“Marketing analytics candidate who combines strong SQL data engineering with Python automation to turn messy GA4, Instagram, and Postgres data into reliable reporting and decision tools. They’ve built cohort- and retention-based measurement frameworks that shifted teams away from vanity metrics, improved campaign allocation, and drove roughly 30% better two-week retention.”

“Analytics candidate who has built full-stack data products end to end: from cleaning 1M+ retail transactions in MySQL to Python-based market basket analysis, churn segmentation, and Streamlit dashboards with Gemini-powered business recommendations. Also built a reproducible predictive modeling workflow for concrete strength forecasting, showing a blend of SQL, machine learning, and stakeholder-friendly delivery.”

keerthana bhukya

Screened

Junior Software Engineer specializing in AI/ML and cybersecurity

Stockton, CA2y exp

“Salesforce-focused engineer with hands-on depth across Sales Cloud, Service Cloud, Apex, LWC, and Aura. Stands out for owning end-to-end automation features, making thoughtful async architecture decisions to balance performance and reliability, and designing responsive Lightning interfaces that hold up under large data volumes.”