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Vetted Computer Vision Professionals
Pre-screened and vetted.
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Executive Applied AI & Full-Stack Engineering Leader specializing in AI-first product modernization
Junior Software Engineer specializing in AWS cloud infrastructure and ML systems
Mid-level Machine Learning Engineer specializing in reinforcement learning and multimodal AI
Mid-Level Full-Stack Software Engineer specializing in AWS and automation
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Intern Computer Vision/ML Engineer specializing in mapping, localization, and scalable inference
Director-level Software Architect specializing in cloud observability and network monitoring
Senior AI/ML Engineer specializing in healthcare and fintech AI systems
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Mid-level Data Scientist specializing in GenAI, LLMs, and MLOps
Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems
Senior AI Engineer specializing in healthcare and FinTech AI systems
Senior Applied AI Engineer specializing in LLMs, RAG, and computer vision
Senior AI & Systems Architect specializing in ML infrastructure and FinTech
Ritika Ghosh
Junior Robotics & AI Engineer specializing in ROS2 autonomy and real-time computer vision
“Robotics software engineer from Stanley Black & Decker’s autonomous team who built and deployed a ROS2-based model predictive control system for a commercial autonomous lawn mower, integrating real-time localization, Nav2 planning, and custom control under real-time constraints. Has hands-on field debugging experience (Foxglove, TF timing, covariance/noise tuning) to resolve issues that only appeared outside simulation, plus containerized deployment and CI/CD experience.”