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Vetted MLOps Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Director-level software engineering leader specializing in cloud, AI, and platform engineering
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics
Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Senior Machine Learning Engineer specializing in Generative AI and NLP
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Principal Data Scientist specializing in AI/ML forecasting and MLOps
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Senior Full-Stack Engineer specializing in cloud-native AI and SaaS platforms
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Johnnie Sanders
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Jingyi Tian
Junior Machine Learning Engineer specializing in MLOps and LLM/RAG systems
“LLM/agentic workflow builder focused on productionizing document-processing systems. Redesigned pipelines with LangGraph + RAG, schema-aware validation, and eval/monitoring loops; known for fast incident diagnosis (restored accuracy from ~70% to >95% same day). Partners closely with sales and stakeholders to deliver tailored demos and drive adoption (reported +40%).”
“LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.”
“Built and deployed a production Retrieval-Augmented Generation (RAG) platform in a healthcare setting to automate clinical documentation review and summarization, targeting near-real-time, explainable outputs. Emphasizes grounded generation to reduce hallucinations, latency optimizations (chunking/embedding reuse), and PHI-safe workflows with access controls, plus strong orchestration experience using Apache Airflow.”