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Vetted Object Detection Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Bill Eichen
Executive product and business leader specializing in AI, semiconductors, and growth strategy
“Candidate indicated they have a business plan or startup and referenced Gimmelfund.com, a VC fund in Palo Alto. They also stated they are very familiar with the venture capital, studio, and accelerator landscape, but provided limited detail during the screen.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Yue Zhao
Junior Machine Learning Researcher specializing in multimodal LLMs and computer vision
“LLM/multimodal systems builder who developed DuetGen, a practical multimodal interleaved text-image generation system using a decoupled MLLM planner and video-pretrained diffusion transformer for high-quality image generation with step-wise alignment. Built a 298K-sample interleaved dataset across 8 domains/151 subtasks and deployed a GPT-5-based automated evaluation framework; also has LangChain-based multimodal agent orchestration experience with custom state management and reliability testing.”
Jingfei Xu
Intern/Junior Software Engineer specializing in AI/ML and cloud-based systems
“Embedded/robotics software engineer with Hyundai Motors experience who owned an AI-driven perception validation pipeline using a Transformer-based approach to generate stable synthetic in-cabin audio for autonomy/ASR testing, cutting downstream testing time by 50%+. Has hands-on ROS integration (IMU sensor streaming, inference, control nodes), MQTT-based distributed messaging, and cloud/container deployment experience (Docker, Node/Express, AWS, CI/CD).”
Syed Mohammad Asjad
Mid-level Robotics Software Engineer specializing in teleoperation, simulation, and autonomy
“Robotics engineer who helped bootstrap Meta’s humanoid robotics effort, building simulation training and deployment infrastructure for vision-language-action (VLA) models. Evaluated multiple physics backends (Bullet, MuJoCo, Isaac, internal) to minimize sim-to-real gap and addressed control-loop frequency mismatches via sequence optimization/MPC-like approaches and trajectory-output modifications. Published research that contributed a new addition to ROS 2 and has built ROS2 node stacks spanning control, perception, teleop, tactile sensing, and imaging.”
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Intern Hardware/Robotics Engineer specializing in autonomous systems and test automation
Intern Robotics Software Engineer specializing in perception and ML systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference