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Vetted Predictive Analytics Professionals
Pre-screened and vetted.
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Executive Technology Leader specializing in AI/ML, data platforms, and digital transformation
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Executive PMO & Transformation Leader specializing in megaproject governance and digital strategy
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Finance transformation leader specializing in FP&A, analytics, and shared services
Director of Product specializing in AI-powered data platforms for connected vehicles and MLOps
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Executive Chief Data & Analytics Officer specializing in data modernization and AI governance
Adam Tichelaar
Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML
“IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.”
Sumaya Shakir
Executive Technology Leader specializing in SaaS platforms, data ecosystems, and product engineering
“Technology leader who drove end-to-end modernization at Dogtopia—building a proprietary SaaS POS/CRM and operations platform plus an AI-powered customer app—using OKR-driven roadmaps and Agile/DevOps delivery. Previously at GE, led a cloud-native AWS data fabric re-architecture with strong security/governance (RBAC, classification, encryption, lineage, virtualization), cutting processing time 60%+ and enabling AI workloads tied to $400M in business value.”
Puyu Yang
Director-level Cloud/Platform Engineer specializing in Kubernetes, AI systems, and distributed infrastructure
“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines