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Vetted OpenAI Professionals
Pre-screened and vetted.
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Principal business value leader specializing in AI, data, and cloud transformation
Senior Software Engineer specializing in cloud security and identity management
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Senior engineering leader specializing in AI-first full-stack SaaS platforms
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Senior Software Engineer specializing in AI/ML tooling and data platforms
Senior Full-Stack AI Engineer specializing in cloud-native and enterprise AI systems
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mary Kotch
Executive CIO/CTO/CISO specializing in cloud, AI/ML, and cybersecurity transformation
“Fractional CTO and AI/ML consultant at Clover Health with deep insurance domain experience (15 years as CTO/CISO/AI). Has spent significant time in PE/VC-backed environments (including Aquiline Capital Partners and Apollo Group), designing and engineering platforms while delivering against budgets, audits, and regulatory compliance. Recently helped build an insurance startup (2020–2025) and is now seeking a full-time role at a startup.”
Jeffery Faneuff
Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms
“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”
Kusumita Dasgupta
Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products
“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”
Ashwin Puthige
Engineering Manager specializing in full-stack web platforms, payments, and AI features
“Hands-on engineering manager on a large web product who built an AI-driven navigation search and led a major post-acquisition unification effort across 3 companies and 5–7 teams, including front-end architecture for 60+ developers. Also owns a high-scale BFF (800 endpoints) and drove a deep reliability fix involving Kubernetes/Envoy/Redis session bloat, adding monitoring and preventative controls.”
Executive AI & Data Technology Leader specializing in buy-side and capital markets platforms
Senior Full-Stack Engineer specializing in scalable web platforms and AI-driven products
Executive Technology Leader specializing in AI, cloud, and enterprise transformation
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Geetika Jain
Mid-Level Software Engineer specializing in Azure AI and full-stack development
“Hands-on AI/LLM engineer who built a RAG-based product feature end-to-end, including prompt engineering, safety guardrails, and an automated adversarial + load-testing harness. Diagnosed real production issues (null responses) via Azure logs/metrics and drove an architectural fix by separating model deployments to address token/quota limits. Also runs internal developer enablement through short theory-to-hands-on AI workshops after completing a Microsoft AI certification.”