Vetted A/B Testing Professionals

“Built and deployed a secure, production LLM-based document summarization and risk-highlighting tool for financial auditors, running inside a private Azure environment to protect confidential data. Focused on reliability (hallucination mitigation via retrieval-based prompts and source citations) and validated performance through comparisons to auditor summaries plus a user pilot, cutting review time by about half.”

“Engineering leader/player-coach who led a high-stakes 0→1 in-house usage-based billing/rating platform to replace a third-party system, saving millions and protecting 30M+ in revenue. Deep experience in event-driven microservices on AWS (Lambda/SQS/DynamoDB), billing correctness, migrations, and incident response, while scaling teams through hiring, coaching, and lightweight execution processes.”

“Early-stage founder building an engineering alpha product and planning a structured path to pilot and general availability. Active mentor in TechStars and MassChallenge with a strong VC network, emphasizing PMF, MVP-in-market feedback, and early sales while maintaining a sustainable approach to entrepreneurship.”

“Built and shipped a production LLM-powered healthcare support agent at UnitedHealthGroup, using LangChain + FAISS RAG on AWS SageMaker with CloudWatch monitoring and human-in-the-loop fallbacks for safety. Strong focus on reliability engineering (confidence gating, retries/timeouts, caching) and continuous evaluation loops; reported ~40% improvement in query resolution efficiency while reducing manual support workload.”

Maranatha Ilesanmi

Screened

Senior Frontend Engineer specializing in React and TypeScript

Kitchener, Canada11y exp

“Frontend engineer with deep experience modernizing KYC flows at Carta, including rebuilding country-specific KYC forms into a scalable configuration + validation-schema system that cut new-jurisdiction support from 2–3 months to ~2 weeks. Strong on quality and rollout practices (E2E/backend testing, early QA engagement, staged/A-B rollouts) and performance optimization for heavy React/TypeScript dashboards using Intersection Observers for lazy loading.”

João Arruda

Screened

Senior Frontend Engineer specializing in Vue.js, testing strategy, and scalable architecture

Remote, EU15y exp

“Frontend engineer/lead focused on scalable architecture and reusable UI platforms: built a schema-driven, IoC-based unified filtering system across an app with feature-flagged rollout and strong TypeScript/testing discipline. Also created a standalone React NPS survey package that works across microfrontends (handling peer dependency/version issues) and implemented accessibility improvements for complex interactions like drag-and-drop while leading an Atomic Design → Feature-Sliced Design migration.”

Monae Martin

Screened

Mid-level Business Development & Account Manager specializing in partnerships, GTM, and sports hospitality

Los Angeles, CA5y exp

“Growth-creative marketer in a club/sports-style environment focused on premium offerings, running structured creative experiments across multiple clubs/markets. Demonstrated measurable performance gains (≈20% lower CPA, ≈12% higher ROAS) by shifting from brand-led to value-forward messaging and translating channel-level performance insights into modular, rapid-iteration creative systems.”

Bhumika Shah

Screened

Mid-level Product Manager specializing in data-driven product strategy and analytics

TX, USA3y exp

“Procurement/sourcing professional with hands-on experience selecting and rolling out an analytics dashboard vendor end-to-end—using stakeholder discovery, POCs, and a scoring matrix—then negotiating a ~26% cost reduction and waiving implementation fees. Also demonstrates strong trade compliance instincts by catching and correcting an incorrect tariff code that would have increased duties ~18%, and uses structured milestone/risk tracking (RAG) to keep OTD and approvals on track.”

Pooja Dokuri

Screened

Mid-level AI/ML Engineer specializing in GenAI, RAG pipelines, and cloud MLOps

Remote, USA4y exp

“Built and deployed a production LLM + vector search clinical decision support system at UnitedHealth Group, retrieving medical evidence and patient context in real time for prior authorization and risk scoring. Strong in end-to-end RAG architecture (Hugging Face embeddings, Pinecone/FAISS, SageMaker, Redis) plus orchestration (Airflow/Kubeflow) and rigorous evaluation/monitoring, with demonstrated ability to align solutions with clinical operations stakeholders.”

Divyam Agrawal

Screened

Mid-level Machine Learning Engineer specializing in LLMs and NLP classification systems

Seattle, WA4y exp

“Internship experience building a production RAG+LLM pipeline to map messy card transaction descriptions to merchant brands, including a custom modified-ROUGE evaluation approach for weak/variant ground truth. Improved scalability and cost by moving from a managed LLM endpoint (e.g., Bedrock) to self-hosted vLLM, and orchestrated massive embedding backfills (5,000+ files, 10B+ rows) using an Airflow-triggered SQS + ECS worker architecture with robust retry/DLQ handling.”

Ganesh Bandi

Screened

Mid-level AI Engineer specializing in LLMs, RAG, and MLOps

USA6y exp

“LLM engineer who has deployed production RAG systems for regulated document QA (PDFs/knowledge bases), emphasizing grounded answers with citations, RBAC, monitoring, and continuous feedback. Demonstrates deep practical expertise in retrieval quality (semantic chunking, hybrid BM25+embeddings, re-ranking), reliability (guardrails, deterministic workflows), and measurable evaluation (golden sets, log replay, A/B tests) while partnering closely with compliance/operations stakeholders.”

Kelsey Means

Screened

Mid-level Marketing Manager specializing in marketing operations, paid media, and full-funnel growth

West Palm Beach, FL5y exp

“Paid media performance marketer with hands-on ownership of $100K+/month Meta Ads spend for a luxury jewelry brand, using creative-first testing and funnel-building tactics (e.g., giveaways) to expand retargeting pools and drive attributed sales. Also experienced structuring full-funnel systems across Meta/TikTok/Google and diagnosing Performance Max declines by refining audience signals and bidding to improve lead quality and CPL.”

xiaowei guo

Screened

Junior Game Designer specializing in AI-driven systems and interactive narrative

Irvine, CA2y exp

“Game economy/progression designer who owned an end-to-end multi-currency economy for a top-down kitchen management sim, balancing cash/reputation/XP with sinks like spoilage, maintenance, and rent. Uses telemetry + structured playtests and spreadsheet simulations to tune pacing, reduce mid-game churn, and prevent late-game inflation by adjusting efficiency/skill curves and phase-based balancing.”

Prasanna Chelliboyina

Screened

Mid-level Machine Learning Engineer specializing in forecasting, NLP, and GenAI

United States6y exp

“GenAI/ML engineer with production experience building multilingual LLM systems (English/Spanish) and RAG-based clinical documentation summarization at Walgreens, combining prompt engineering, structured output validation, and rigorous evaluation (ROUGE + pharmacist review). Also orchestrated end-to-end ML pipelines for demand forecasting using Apache Airflow, PySpark, and MLflow with scheduled retraining and production monitoring.”

“Built and shipped a production-grade agentic RAG system at CVS Health for patient adherence and medication recommendations, processing 20k+ patient records/day. Strong focus on real-world reliability: hybrid retrieval tuned with re-ranking (<400ms latency), strict JSON/schema validation and tool guardrails, and monitoring/drift detection that reduced MTTD from 6 days to 18 hours while improving recommendation accuracy (+8%) and cutting escalations (~23%).”

“Analytics-focused candidate with hands-on experience using SQL, Python, and Power BI to turn fragmented event and user data into reliable reporting layers, automated workflows, and stakeholder-facing dashboards. They appear strongest in product/growth analytics, especially funnel, conversion, retention, and user behavior analysis, with clear examples of driving product improvements through metric design, segmentation, and ongoing monitoring.”

“CRM/project management professional with RAPP experience supporting AT&T consumer campaigns, combining high-volume campaign execution with data-informed optimization. Notable for leading a 140-version direct mail/email program under urgent timelines, coordinating multiple stakeholders, and using incrementality analysis to refine targeting and improve revenue impact.”

Chanatip Vachirathanusorn

Screened

Entry-level Software Engineer specializing in full-stack and FinTech systems

San Diego, CA2y exp

“Software engineer with AppFolio payments experience who shipped an end-to-end payment adoption rollout during a short internship, including full-stack implementation, stakeholder coordination, and real-time monitoring. Also built an insurance service AI agent inspired by his father's agency, combining structured document ingestion, RAG, and agentic integrations to improve reliability on dense policy documents.”

Anirban Ghosh

Screened

Mid-level Machine Learning Engineer specializing in data science and cloud systems

Seattle, WA4y exp

“ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.”

“ML/AI engineer focused on production NLP and voice AI systems in the restaurant tech space, with hands-on work spanning ASR, intent classification, LLM fine-tuning, and deployment monitoring at Presto AI. They highlight a 15% improvement in full-AI ordering rate and also built a restaurant sentiment analysis product at Wisely that they say became a standout feature in a $10M acquisition context.”

“Engineering leader with experience owning product engineering strategy, architecture, and org scaling across hospitality/workforce management and insurance startup environments. They describe being brought in to help Fourth Inc. revamp engineering for large-scale enterprise customers, while also scaling teams at The Zebra and staying hands-on with production monitoring, performance analysis, and cross-team architectural execution.”

“Built the outbound GTM motion from zero at an early-stage startup with no inbound pipeline, SDR team, or existing playbook. They created a 5,000+ lead engine across 15 industries, ran segmented multi-channel campaigns, and turned it into a documented, repeatable system that produced 40+ qualified leads, 12 client acquisitions, and above-benchmark response metrics.”

“Frontend architecture leader with experience at Citi and Warner Bros. Discovery, building high-performance browser UIs for demanding enterprise and media workflows. Stands out for combining design-system standardization, deep browser performance optimization, and measurable impact: ~50% frontend improvement and 40% faster feature delivery across a 20+ engineer team.”

“Product leader at VicRoads who rebuilt the Custom Plates digital portfolio, including an AI-powered pricing and recommendation platform that drove more than 20% revenue uplift. Stands out for combining commercial product thinking with explainable AI, regulatory compliance, and legacy-system modernization in a government-related environment.”