.png){kind=logo}
Vetted AI & Machine Learning Professionals in California
Pre-screened and vetted in California.
Popular Titles
Entry-level Machine Learning Engineer specializing in LLM systems and RAG
Mid-level AI/ML Engineer specializing in LLM systems, RAG pipelines, and risk analytics
Entry-level NLP/LLM Researcher specializing in multilingual evaluation and retrieval
Entry-Level Software Engineer specializing in ML and Full-Stack Development
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Intern Machine Learning Engineer specializing in LLMs, generative AI, and reinforcement learning
Mid-level AI/ML Engineer specializing in NLP, RAG, and computer vision
Junior Generative AI Engineer specializing in multi-agent systems and LLM evaluation
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and anomaly detection
Mid-level Machine Learning Engineer specializing in edge AI and computational biology
Mid-level MLOps Engineer specializing in ML platforms and cloud-native deployment
Senior Computer Vision Engineer specializing in medical imaging and MLOps
Mid-Level Full-Stack Developer specializing in cloud-native microservices and GenAI
Mid-level AI/ML Engineer specializing in cloud ML, real-time pipelines, and graph neural networks
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior AI Python Engineer specializing in Generative AI and MLOps
Saikrishna Paila
Junior AI Engineer specializing in RAG pipelines and agentic AI systems
“Built and shipped production RAG/agentic systems in high-stakes domains (biomedical and legal), including an enterprise biomedical document retrieval platform over ~10k scientific docs and a multilingual African-law assistant at the World Bank. Deep hands-on experience with LangChain/LangGraph/LlamaIndex and evaluation tooling (LLM-as-a-judge, safety/hallucination detection), with measurable gains in retrieval quality and hallucination reduction.”
Likith Kumar Tarala
Mid-level Machine Learning Engineer specializing in deep learning and generative AI
“AI/ML engineer who has deployed transformer-based NLP systems to production via Python REST APIs and Kubernetes on AWS/Azure, with a strong focus on latency optimization (p95), reliability, and scalable orchestration. Demonstrates pragmatic model tradeoff decision-making and strong stakeholder collaboration—improving adoption by making outputs more actionable with summaries, extracted fields, and confidence indicators.”
Harsh Tripathi
Mid-level Machine Learning Engineer specializing in LLMs, agentic AI, and risk/fraud modeling
“Built and productionized an agentic LLM workflow during a summer internship to transform unstructured clinical reports into analytics-ready structured data, using a LangChain multi-agent design plus an LLM-as-a-judge layer to control quality in a regulated setting. Also has experience orchestrating ML pipelines at Piramal Capital using AWS Step Functions/EventBridge/CloudWatch, with strong emphasis on observability, evaluation rigor, and measurable impact (80–90% reduction in manual data entry).”