.png){kind=logo}
Vetted Artificial Intelligence Professionals
Pre-screened and vetted.
Mid-level Visual Designer specializing in FinTech product and design systems
Senior Robotics & AI Scientist specializing in robot learning, control, and multimodal AI
Junior Full-Stack Software Engineer specializing in AI and data-driven web platforms
Mid-level Hardware & Embedded Systems Engineer specializing in robotics and ML
Engineering leader specializing in cloud-native regulated healthcare SaaS
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and computer vision
Mid-level Data Analyst specializing in ML, AI, and data visualization
Senior AI/ML & Data Science professional specializing in NLP, LLMs, and MLOps
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Senior QA Automation Engineer specializing in regulated healthcare and pharma platforms
Mid-level Data Scientist / ML Engineer specializing in NLP, GenAI, and cloud ML deployment
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Principal Site Reliability Engineer specializing in multi-cloud platforms, observability, and AIOps
Senior HRBP & Talent Acquisition Leader specializing in DEI and creative/agency hiring
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Ian Hackman
Mid-Level Unreal Engine Engineer specializing in gameplay systems and UI tools
“Unreal Engine 5 gameplay/systems developer who led major core features for the Early Access Steam city builder Geopogo Cities: Windsor Detroit, including an end-to-end building placement system tightly integrated with economy, AI pedestrians (Mass AI/Zone Graph/State Trees), and procedural city block generation. Also built a third-person exploration layer with character customization, stamina, and animation retargeting on top of the City Sample Crowd framework, plus shipped player-driven UX improvements based on live Early Access feedback.”
Sanjay Mamani
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Christina Darstbanian
Mid-level DevOps & Cybersecurity Software Developer specializing in IAM/CIAM automation
“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”
Pravallika Kilari
Mid-level AI/ML Engineer specializing in NLP, GenAI, and MLOps in healthcare and finance
“AI/ML engineer with CVS Health experience deploying production LLM systems in regulated healthcare settings, including a large-scale RAG solution (1M+ documents) built for compliance-grade, auditable policy/regulatory Q&A with strong anti-hallucination controls. Also delivered an NLP summarization system for physician notes/case narratives by partnering closely with non-technical care operations stakeholders and iterating via prototypes, dashboards, and feedback loops.”
Erik Moyer
Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML
“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”