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Vetted CUDA Professionals
Pre-screened and vetted.
Junior AI Engineer specializing in LLM systems and network automation
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Junior Research Engineer specializing in robotics, computer vision, and machine learning
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Intern Robotics Software Engineer specializing in perception and ML systems
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Intern/Junior Robotics & Controls Engineer specializing in autonomy and embedded systems
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Intern Machine Learning Engineer specializing in systems, kernels, and GPU computing
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Mid-level Software Engineer specializing in systems, CUDA, and robotics/AI
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Roshan Raj
Intern Software Engineer specializing in robotics, autonomous vehicles, and embedded AI
“Robotics software engineer with internship experience at John Deere and AeroVironment, working across C++/Python stacks and ROS2-based systems. Drove a proof-of-concept migration from an x86/FPGA target to NVIDIA GPU solutions and helped turn a hackathon prototype into a production-ready, CI/CD-driven build-and-deploy workflow with comprehensive automated testing.”
kartik kanotra
Mid-level Software Developer specializing in cloud data engineering and MLOps
“Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.”
Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision
Mid-level Robotics & Computer Vision Engineer specializing in humanoid manipulation and RL
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting