Vetted Data & Analytics Professionals in California

“ML/NLP practitioner working across healthcare and business/finance use cases: currently fine-tuning a domain-specific Llama 3.1 model for safe reasoning over EHRs/clinical notes using RAG + RL/DPO and RAGAS-based evaluation. Has built UMLS-driven entity normalization pipelines with quantified quality gains and developed embedding/vector-DB systems (FAISS) for semantic matching and forecasting/recommendation applications at Aurora AI and Banxico.”

“Built a production assistive-vision iPhone app to help visually impaired users find grocery items, training a custom YOLO detector on 2,000+ self-collected/annotated images and deploying via CoreML with a cloud multimodal LLM for navigation instructions. Brings hands-on AWS serverless + ECS container deployment (CDK/GitHub Actions) and a disciplined approach to AI workflow reliability (state-machine design, offline evals, stress tests, logging/metrics), plus experience communicating model insights to non-technical stakeholders (MOTER Technologies).”

“Game QA professional with live production ownership on New World Aeternum (progression-driven connected rewards spanning UI, backend tracking, and live tuning) and experience on God of War Ragnarok. Emphasizes risk-based test planning, strong cross-functional triage grounded in player impact/live risk, and highly actionable Jira/TestRail practices (PAL titles, traceability, video/log evidence) to speed resolution and reduce late-cycle churn.”

“Developed and productionized an AI-driven "indication finding" system for AbbVie to identify additional diseases a drug could target, working closely with clinical research teams on cohort inclusion/exclusion criteria and disease rollups. Leveraged an LLM to map clinical inputs to ICD codes and built configuration-driven ML pipelines (Cloudera ML, YAML, scheduled jobs) with structured testing and evaluation for reliability.”

“Built and deployed profitprops.io, a sports betting player-props prediction product using ML/AI. Implemented backend APIs with FastAPI/Express.js and Supabase, trained models on AWS GPU (P3) using Docker + RAPIDS, and set up CI/CD with GitHub Actions while working around cost constraints and data-collection hurdles (EC2 proxy rotation/rate limits).”

“Localization QA tester with 4 years of experience testing Xbox AAA titles (including Dead Rising 3, Forza Motorsport, and Halo 5), focused on Spanish localization accuracy and UI/HUD issues. Experienced logging bugs in Jira, tracking them through regression in subsequent builds, and supporting testing through gold certification.”