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Vetted CUDA Professionals
Pre-screened and vetted.
Senior DevOps/Back-End Software Engineer specializing in AWS and Kubernetes
Junior Software Engineer specializing in full-stack web and edge ML inference optimization
Junior Robotics Engineer specializing in warehouse automation (AMRs/ASRS) and controls
Mid-level Robotics & Computer Vision Engineer specializing in GPS-denied autonomy
Mid-level AI Systems Engineer specializing in distributed inference and retrieval systems
Mid-level AI/Data Engineer specializing in generative AI and RAG systems
Mid-level Software Engineer specializing in Generative AI and ML platforms
Mid-level Robotics Software Engineer specializing in perception, computer vision, and sensor fusion
Mid-level Robotics Software Engineer specializing in C++ and ROS2 for autonomous systems
Mid-level Applied AI/ML Engineer specializing in scalable generative model infrastructure
Mid-level Machine Learning Engineer specializing in NLP and AWS data pipelines
Junior Machine Learning Engineer specializing in LLM infrastructure and inference optimization
Mid-Level AI Engineer specializing in LLM systems, GPU optimization, and multi-agent orchestration
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level Robotics Software Engineer specializing in autonomous navigation and motion planning
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”