Pre-screened and vetted in the Los Angeles Metro.
Mid-level Operations & Analytics Professional specializing in logistics and sports data
“Lifelong basketball player with extensive exposure to elite Southern California high school basketball (Servite/Trinity League) and familiarity with college recruiting through close connections, who applies a structured PFF-style evaluation lens to scouting. Comfortable identifying talent via film and in-person viewing and proactively engaging prospects through social media outreach; also brings experience working demanding overnight/on-call schedules from Amazon last-mile logistics.”
Senior Product Manager specializing in B2B SaaS MarTech/AdTech and AI automation
Junior Data Scientist specializing in ML research, NLP, and healthcare analytics
“Completed an Amazon externship building a GPT-4 + RAG pipeline to summarize themes from hundreds of employee reviews for workforce analytics aimed at improving warehouse retention. Emphasizes production-readiness through labeled-data evaluation, source attribution for explainability, human-in-the-loop review, and rigorous data cleaning/observability to debug real-world LLM workflow issues.”
Junior Applied Data Scientist specializing in LLM systems and full-stack ML products
Senior Marketing Analytics Manager specializing in performance marketing and attribution
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Mid-level Planning & Data Analyst specializing in CPG sales planning and operations analytics
Mid-level Data Science & AI Engineer specializing in LLMs and cloud ML platforms
“Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.”
Mid-Level Software Engineer specializing in FinTech and LLM-powered data products
“Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).”
Junior Full-Stack & ML Engineer specializing in AI-powered web products
Mid-level Data & Marketing Analyst with QA and sports tracking experience
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting