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Vetted Computer Vision Professionals
Pre-screened and vetted.
Senior Computer Vision Engineer specializing in medical imaging and MLOps
Mid-level AI/ML Engineer specializing in predictive maintenance, computer vision, and LLM/RAG systems
Mid-Level Software Developer specializing in test automation and AI tooling
Mid-level Robotics Software Engineer specializing in ROS2 autonomy and SLAM
Mid-level Full-Stack Software Engineer specializing in cloud backend and AI infrastructure
Junior Robotics Engineer specializing in reinforcement learning and robot manipulation
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and computer vision
Mid-level Software Engineer specializing in distributed systems and private cloud automation
Mid-level AI/ML Engineer specializing in MLOps, NLP/CV, and fraud detection
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
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).”