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Vetted CUDA Professionals
Pre-screened and vetted.
Intern Robotics Engineer specializing in reinforcement learning, simulation, and embedded systems
Entry-Level Robotics Research Assistant specializing in autonomous systems and reinforcement learning
Junior Machine Learning Engineer specializing in LLM and multimodal systems
Senior Robotics Perception Engineer specializing in SLAM, LiDAR safety, and computer vision
Junior Software Engineer specializing in ML, signal processing, and full-stack web development
Mid-level AI Engineer and Data Analyst specializing in ML, NLP, and financial forecasting
Junior Machine Learning Engineer specializing in computer vision and LLM applications
Intern Machine Learning Engineer specializing in computer vision and edge AI
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level AI & Machine Learning Engineer specializing in agentic workflows and RAG/GraphRAG
Senior Machine Learning Engineer specializing in Generative AI RAG systems
Mid-level Autonomy Engineer specializing in robotics perception and sensor fusion
Junior Robotics & ML Engineer specializing in computer vision and transformer models
Junior Software Engineer specializing in autonomous vehicle perception and MLOps
Junior Robotics & AI Engineer specializing in SLAM, motion planning, and sim2real learning
Intern Software Engineer specializing in backend systems, cloud infrastructure, and LLM applications
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic AI
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Naga Karumuri
Mid-Level Full-Stack Engineer specializing in AI and 3D computer vision
“Built and productionized an LLM-driven document verification workflow for a construction firm’s submittals process, moving from a Vercel/Next.js prototype to a FastAPI + LangChain/LangGraph backend with background workers and multi-server deployment. Uses LLM tools (e.g., OpenAI Codex/Cloud Code) for rapid development and log-driven root cause analysis, and partners with customer teams on evaluation metrics and iterative improvements.”
Ashwith Poojary
Mid-level Software & AI Engineer specializing in Robotics, LLMs, and Reinforcement Learning
“Robotics/AI Master's thesis researcher building an LLM-driven workflow to generate and evaluate robot policies before running them in an environment. Also built a local LLM-based real-time target-tracking robot using a pan-tilt camera with LangChain + Ollama, and has hands-on ROS 2/Gazebo experience including URDF-based simulation and a TurtleBot multi-agent chase project.”