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Vetted Tableau 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
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Executive Technology Leader specializing in cloud, datacenter operations, and AI strategy
Niccolo de Vecchi
Mid-level Management Consultant specializing in due diligence and value creation
“Former Bain strategy consultant with ~3 years experience and an MBA, with examples spanning turnaround work, consumer goods market assessment, and strategic planning. Demonstrates strong executive alignment habits (disciplined updates, no-surprises communication) and operational leadership, including training teammates on Tableau via templates to scale productivity.”
Summer Guo
Executive Venture Capital Investor specializing in AI, robotics, and energy infrastructure
“Clean energy founder (Ishan "Summer") who built an energy storage/battery materials venture in 2022 focused on data centers and factories, raising $10M split between venture capital and government funding. Demonstrates end-to-end venture execution: multi-year market observation, team formation, customer/market validation, research collaboration, prototyping, and channel-partner-led go-to-market.”
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 AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Director of Risk & Control Management specializing in financial services governance and regulatory remediation
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Executive Product & Growth Leader specializing in identity verification, privacy, and GTM
Mid-level Data Scientist specializing in Generative AI and LLM applications
Principal Data Scientist specializing in Generative AI and security analytics
Tolulope Akinlabi
Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk
“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”