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Vetted Object Detection Professionals
Pre-screened and vetted.
Junior Machine Learning Engineer specializing in computer vision for robotics perception
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
Senior Autonomy & GNC Researcher specializing in state estimation, sensor fusion, and control
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Intern Robotics Engineer specializing in embedded systems and ROS-based autonomy
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
Mid-level Machine Learning Engineer specializing in computer vision and scientific AI
Junior Data Scientist specializing in LLMs, RAG, and agentic AI systems
Junior AI/ML Engineer specializing in LLMs, recommender systems, and computer vision
Junior Software Engineer specializing in distributed systems, cloud infrastructure, and robotics
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Mid-Level Full-Stack Software Engineer specializing in backend APIs and cloud-native FinTech
Intern Software Engineer specializing in AI-driven web applications
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Senior Full-Stack AI Engineer specializing in LLM and ML-powered SaaS
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Dhairya Shah
Entry-level Machine Learning Engineer specializing in computer vision and systems
“ML-focused builder who has shipped an end-to-end income-class prediction product: built the data pipeline, trained models, deployed via Streamlit with a live UI, and tracked success via accuracy (84%), adoption, and latency. Demonstrates strong practical MLOps instincts (Docker/Streamlit Cloud, logging/monitoring, caching) and data engineering reliability patterns (schema checks, idempotency, retries, backfills) while iterating quickly in ambiguous, solo-project environments.”
Tam Do
Junior Robotics Software Engineer specializing in ROS2 perception and manipulation
“Robotics software engineer who built an assistive Kinova Gen3 manipulation system for activities of daily living, spanning RealSense+ArUco perception, MoveIt2-based motion planning/task sequencing, and a React Native tablet UI with rosbridge and voice control. Optimized real-robot trajectories by blending OMPL with Cartesian/PILZ planning and created simulation workflows to test without lab/robot availability.”
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation