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Vetted Machine Learning Engineers in California
Pre-screened and vetted in California.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and cloud deployment
Mid-Level Software Engineer specializing in ML and healthcare data systems
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”
Harshal J Hirpara
Mid-level Machine Learning Engineer specializing in LLM alignment and applied reinforcement learning
“AI/LLM engineer who has shipped production systems end-to-end, including a note-taking product (Notey) combining audio/image capture, ASR, summarization, and a semantic chat agent over past notes. Also has applied ML experience in healthcare, collaborating directly with doctors to validate an EEG seizure-detection pipeline, and uses Kubernetes to optimize GPU usage for LLM training.”
VENU ANUPATI
Mid-level AI/ML Engineer specializing in Generative AI and LLM systems
“Senior AI/ML engineer with hands-on experience building production LLM systems in healthcare, including RAG-based clinical question answering and end-to-end MLOps on Vertex AI and Kubernetes. They combine strong platform engineering with applied GenAI work, citing a 35% improvement in factual accuracy and a 30% boost in internal team productivity through modular Python services and CI/CD.”
Bilal Sadaqat
Senior Machine Learning Engineer specializing in NLP, LLMs, and AI systems
“AI/ML engineer with hands-on experience building a healthcare-focused generative AI application end-to-end, from architecture and data design through deployment, monitoring, and iterative improvement. Particularly strong in multi-agent LLM systems, fine-tuning, and safety guardrails, with measurable impact including a 20% accuracy lift to 91% and 10% latency improvement in a nutrition recommendation pipeline.”
Junior AI Engineer specializing in LLM agents and computer vision
Engineering Manager specializing in cloud platforms, web applications, and Generative AI
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
Senior Machine Learning Engineer specializing in NLP, computer vision, and LLMs
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud AI infrastructure
Senior Software Engineer specializing in FinTech, payments, and SaaS platforms
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level Computer Vision Engineer specializing in 3D vision and autonomous navigation
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Mid-level Machine Learning Engineer specializing in computer vision and LLM analytics
Junior Machine Learning Engineer specializing in LLM agents, knowledge graphs, and multimodal AI
Junior AI Engineer specializing in LLM agents, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and agentic automation
Junior Software Engineer specializing in AI/ML and full-stack LLM applications
Junior AI Engineer specializing in LLM agents, RAG, and computer vision