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Vetted Power BI Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Staff Data Scientist specializing in machine learning, deep learning, and big data
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Dragon Chan
Senior Strategy & Operations leader specializing in AI automation and supply chain
“Strategy and operations leader with experience spanning Anheuser-Busch and McMaster-Carr, combining large-scale cost ownership, frontline operations leadership, and sourcing strategy. Particularly compelling for operationally intensive roles: they’ve managed a 150-person service organization, owned a ~$750M cost base, built strategy in ambiguous environments, and independently drove an LLM automation pilot that reached 97% accuracy and saved 3 FTEs.”
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
Executive CEO and ex-McKinsey Partner specializing in transformation, P&L leadership, and AI-driven growth
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior Technical Program Manager specializing in AI, cloud infrastructure, and distributed systems
Mid-level Data Scientist specializing in Generative AI and LLM applications
Principal Data Scientist specializing in Generative AI and security analytics
Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP