.png){kind=logo}
Vetted Generative AI Professionals
Pre-screened and vetted.
Intern Full-Stack Software Engineer specializing in internal platforms and data analytics
Director of Engineering specializing in AI, data platforms, and cloud cost optimization
Director-level Technology Leader and Cloud Architect specializing in Enterprise SaaS and AI/ML
Senior Data Scientist specializing in Generative AI and LLM evaluation
Staff-level Data Scientist specializing in LLMs, NLP, and product experimentation
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Intern Software Engineer specializing in data engineering and LLM evaluation
Senior Strategy & Operations Leader specializing in AI and data-driven transformation
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Principal Data Scientist specializing in AI and quantitative investment strategies
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Joshua Seiden
Executive Technology & Product Leader specializing in emerging tech commercialization
“Startup operations/product advisor and long-time accelerator mentor who has helped multiple early-stage companies become enterprise-ready—shifting teams to customer-driven roadmaps and implementing CI/Agile delivery processes. Notably supported an Israeli company in landing a Fortune 30 customer before it later IPO’d on NASDAQ, and helped an Australian startup operationalize delivery to secure deployment with a major telecom and sports league.”
Shant Mardigian
Executive Engineering Leader specializing in scalable streaming, media supply chain, and AI operations
“Tech executive with Disney experience who has repeatedly scaled and restructured engineering organizations (from 4 to 30 and up to 100+), using OKRs/KPIs to drive business-aligned roadmaps. Hands-on with architecture and platform strategy, including adopting MongoDB Atlas to centralize transactional data and building shared core services (security/permissions, auditing, compliance) to increase product velocity across distributed teams.”