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Vetted Vertex AI Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
Max Zhu
Staff Software Engineer specializing in Cloud Healthcare Data Platforms
“Backend/data engineer with deep healthcare data experience (FHIR, de-identification) across both GCP and AWS. Has built and operated production microservices and ETL pipelines (FastAPI, Dataflow, Glue) with strong reliability practices, and led modernization of a legacy SAS compliance reporting system to cloud services with validated parity and stakeholder-facing Looker comparisons.”
Staff Software Engineer specializing in FinTech and distributed systems
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Senior Software Engineer specializing in AI infrastructure and distributed systems
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Pradeep Nadella
Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling
“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Full-Stack Software Engineer specializing in React/Next.js and AI-powered SaaS
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems
Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems
Senior Software Engineer specializing in healthcare AI and cloud platforms