.png){kind=logo}
Vetted AI Engineers in California
Pre-screened and vetted in California.
Rafael Martinez
Director-level Applied AI & Data Analytics Engineer specializing in real-time decisioning systems
“Built and shipped a production AI/LLM agent-based, event-driven credit underwriting/decisioning workflow that automated document understanding, retrieval, risk scoring, and compliance checks—cutting turnaround from ~90 days to ~5 minutes while boosting throughput 200x+ and approvals ~50%. Experienced with Airflow/Prefect orchestration, Redis/RabbitMQ queues, rigorous eval/monitoring, and close collaboration with non-technical underwriting teams.”
Junior AI Engineer specializing in LLM agents, RAG, and MLOps
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
Mid-level MLOps/Machine Learning Engineer specializing in cloud-native production ML
Junior AI Engineer specializing in NLP, LLMs, and recommender systems
Rasheed Samady
Entry-level AI Engineer specializing in automation and ML platforms
“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”
Senior AI Engineer specializing in LLMs, agentic systems, and ML infrastructure
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”