Hire Freelance Robot Operating System (ROS) Developers
Rachel Park
Rachel is a big data professional experienced in various domains, including robotics, biotech R&D, entertainment/media, and healthcare. With 10+ years of experience in data mining and machine learning technologies, she's a proactive leader with strengths in communication and collaboration. With her expertise in the ML ecosystem, both on-prem and cloud-based, Rachel promotes automated data solutions and manages concurrent objectives to drive efficiency and influence positive outcomes.
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Lukas Grasse
Lukas has a B.Sc. in Computer Science, M.Sc. in Neuroscience and is currently pursuing a Ph.D. in Neuroscience at the University of Lethbridge. He has experience in machine learning, robotics, and other industries. His current research focus is on speech recognition in noisy environments. Prior to starting graduate school, Lukas worked at a company called GuildOne as a software developer. Throughout his schooling, he has also worked as a freelance developer on various projects.
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Jonathan Tai
Jonathan is a technical product strategist and systems engineer specializing in robotics, processes, discovery, design, delivery, and product management. He has experience building technical product systems, critical systems, and processes for external customers. Jonathan has helped small to mid-size businesses make lasting processes that drive agile development.
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Ahmed Saber
Ahmed is an accomplished computer engineer with years of experience in diverse technologies applied across all platforms, from microcontrollers to supercomputers. He focuses on computer vision and image processing to help machines become more intelligent using their eyes. Ahmed is equally capable of working in teams and delivering directly; he learns fast, communicates well, and welcomes challenges.
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Raven Nicole Roberts
Raven is an ML engineer with three years of production experience building systems where the math actually has to work. She specializes in geometric deep learning, quantum ML, and physics-informed architectures, i.e., problems where off-the-shelf solutions don't fit and you need to build the right primitives from scratch. Comfortable across PyTorch, JAX, PennyLane, and embedded TinyML deployment, Raven also shipped ML systems for robotics and AI infra companies in Singapore and Vienna.
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Ishmael Rogers
Ishmael is a full-stack robotics software engineer with eight years of experience taking autonomous systems from prototype to production. He works across the entire stack, including Rust and C++ control software running on underwater and aerial vehicles. He's also skilled in React and TypeScript operator dashboards, gRPC and WebSocket back ends, and AWS infrastructure provisioned with Terraform. He owns the scope end-to-end.
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Mirko Ferrati
Mirko has been developing products with C++ for over seven years now, ranging from embedded ARM chips to high-level distributed networks of control nodes. Currently, he is leading a team at a robotics company—managing the software lifecycle and optimizing C++ algorithms.
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Leonardo Oliveira
Across robotics, automotive, and applied research, Leonardo has spent five years building perception, localization, and autonomy software for real-world robotic systems. His work spans SLAM, sensor fusion, computer vision, and state estimation, with a strong focus on production-grade C++, ROS 2, and performance-critical robotics software. He has experience taking algorithms from research and prototyping through integration, evaluation, and deployment on autonomous platforms
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Adnan Ademovic
Adnan is an engineer with experience in desktop, embedded, and distributed systems. He has worked extensively in C++ (working at low and high levels), Python, and other languages. He is experienced in developing complex algorithms and intelligent systems, optimization, networking, and signal processing. He is very passionate about problems faced by robotics and mechatronics in general.
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Pau Carré Cardona
Pau is a seasoned data scientist with remarkable computer vision and NLP expertise and a proven track record of developing large-scale AI systems and implementing them at scale. As an invited speaker at the prestigious O'Reilly AI Conference in New York, he showcased his ability to captivate and inform technical and business audiences. Pau excels in communication, fostering effective collaboration across diverse disciplines and cultural backgrounds, and delivering high-value software solutions.
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Surbhi Gupta
Surbhi, previously a CTO at a GenAI startup and assistant professor at MUJ, is a generative AI, ML, and NLP expert with 5+ years of experience. She has designed and developed ML-based end-to-end solutions for startups at Toptal and Fortune 500 clients at Utopia. Her expertise includes ML, deep learning, NLP, computer vision, LLMs, GPT, AI, MLOps, and AWS. Surbhi solved problems in EAM, marketing, finance, chatbot, and crypto industries. She published research in robotics and optimization.
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