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Vetted Computer Vision Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and cloud microservices
Junior Computer Vision & ML Researcher specializing in 3D perception and generative models
Mid-level Product Designer specializing in UX research, design systems, and workflow automation
Mid-level AI Engineer specializing in Computer Vision, NLP, and Generative AI
Junior Software Engineer specializing in AI automation and full-stack delivery
Mid-level Robotics Software Engineer specializing in autonomous navigation and motion planning
Senior Robotics Engineer specializing in human-robot interaction and teleoperation
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Director of Engineering specializing in AI/ML products, cloud modernization, and compliance
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Senior Product Manager specializing in B2B SaaS platforms and AI/ML features
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Senior Software Engineer specializing in backend, cloud platforms, and AI/ML
Senior Full-Stack Software Engineer specializing in scalable web platforms and ML systems
Junior Full-Stack Developer specializing in web apps and AI-powered automation
Mid-level Full-Stack AI Engineer specializing in agentic SaaS and LLM systems
Ann Emily Gregoire
Senior Frontend Developer specializing in React and industrial ERP systems
“Frontend engineer focused on scalable architecture and long-term maintainability, emphasizing modular component design in React + TypeScript. Has experience building reusable component libraries (including Storybook and shared repos) and collaborating with design/product to refine UX workflows, reducing development time over successive iterations.”
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
Drashti Magia
Junior AI Engineer specializing in LLMs, multimodal ML, and applied machine learning
“Software engineer with a disciplined, production-minded approach to AI-driven development: uses ChatGPT, Claude, GitHub Copilot, and scoped coding agents to accelerate delivery without giving up architectural judgment. Notably applied a multi-agent workflow on ClinicOps Copilot, using agents for planning, Bedrock/RAG scaffolding, and failure testing while personally owning architecture, grounding quality, and end-to-end review.”