.png){kind=logo}
Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in distributed systems and AI infrastructure
Executive CTO specializing in Generative AI, GPU computing, and 3D graphics
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Executive AI Founder & CEO specializing in LLM agents, data engineering, and regulated healthcare markets
Staff Data Scientist specializing in machine learning, deep learning, and big data
Junior Software Engineer specializing in AI/ML and recommendation systems
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Senior Software Engineer specializing in ML, distributed systems, and GenAI search
Farabi Hassan
Principal Product Leader specializing in AI-powered enterprise and marketplace platforms
“Product leader with experience at Zillow, Amazon, and Chewy, focused on high-scale ML and UX-driven product improvements. Has led end-to-end rebuilds and launches that delivered measurable business impact, including a 23% conversion lift in lead routing, 40%+ reduction in delivery-related customer contacts, and 10%+ ecommerce conversion gains.”
Neeraj Sharma
Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems
“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”
Christopher Sipola
Senior Machine Learning Engineer specializing in LLMs and recommendation systems
“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”
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.”
Executive Blockchain Analytics Founder/CEO specializing in institutional-grade data platforms
Executive technology leader specializing in AI, data science, and product engineering
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Mid-Level Software Engineer specializing in backend systems, payments tokenization, and ML
Senior Engineering Leader specializing in AI/ML, LLM agents, and consumer platforms
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior AI/ML Engineer specializing in conversational AI and enterprise LLM systems
Senior Software Engineer specializing in AI/ML infrastructure and GenAI
Executive Founder-Operator specializing in AI-native products, operations, and GTM