Hire remote MATLAB developers near Copenhagen or in a similar time zone
Sebastián Castaño
Sebastián has a PhD in machine learning and data science and a decade of experience in interdisciplinary projects in medicine, banking, marketing, and consumer products, among others. His expertise includes designing data collection systems, analyzing and modeling complex data, and developing and deploying ML pipelines. As a seasoned researcher and educator, Sebastián constantly delivers compelling data-driven insights and intuitive tools for technical and non-technical colleagues.
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Eduard Feicho
Eduard is a computer scientist from Germany with a passion for computer vision. He has extensive experience in the automotive sector as an ex-BMW, Hella, and Volkswagen self-driving car engineer. In London, UK, Eduard has developed and kickstarted Zappar's ZapBox: Mixed Reality for $30 project.
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Keying Wu
Keying is a seasoned developer and leader with six years of experience. With hands-on experience in all stages of software development and managerial duties, she is a lifelong learner, a completionist, and a problem solver. Keying's expertise includes back-end services with Java, C#.NET, Python, REST, databases with Oracle, PostgreSQL, and Redis SQL, front end with Angular, and cloud technologies such as AWS.
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Simone Romano
Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, NLP, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.
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Niels Andriesse
Niels has a strong focus on entrepreneurial ventures and a natural aptitude for software engineering. He taught himself programming during his aerospace engineering studies, where he used his skills to develop powerful structural analysis and orbit design tools. Niels has since been a major part of multiple world-class startups, building and shipping high-end consumer-facing iOS and Android applications using languages such as Swift, Kotlin, JavaScript, Rust, and Python.
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Erkan Okuyan
Erkan is a software developer and team leader with expertise in implementing efficient algorithms on platforms with limited computational capability. As a developer, he has applied various computer vision algorithms to embedded environments for several defense projects, including missile seeker heads, head-mounted displays, and missile warning systems. Erkan has also led a team of over eight engineers to develop and carry out computer vision solutions for around ten active defense projects.
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Emmanuel Druet
Emmanuel is an R&D engineer with 15+ years of experience with multidisciplinary skills, specializing in applied mathematics and software design, development, testing, maintenance, and support for complex systems requiring high performance, safety, and robustness. He has a "hybrid" profile that includes Linux and Windows; x86 and Arm; embedded systems and back-end; and C, C++, C#, Python, and SQL. Emmanuel has proven experience designing algorithms, especially for localization and sensor fusion.
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Rodrigo Segura, Dr.
With an extensive academic background in mathematics, physics, and aerospace engineering, Rodrigo became a full-stack developer passionate about modular, scalable, and user-friendly applications. Rodrigo specializes in the scalable design of TypeScript full-stack NestJS/React architectures configured as modular infrastructures that enable the efficient collaboration of multiple teams working toward a consolidated product with various modules and features.
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Denis Volk
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
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Gabriele Santin
Gabriele is an applied mathematician with ten years of experience in machine learning and computational mathematics, and in their combination to solve challenging problems in simulation and data science. He is currently interested in cracking problems involving structured data and physics-informed models, especially those related to graph machine learning.
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Pietro Grandinetti
Pietro is a systems engineer with a professional background as a software developer and a PhD in large-scale optimization, from the Technology Institute of Grenoble. Equally at ease in applied science and software positions, he enjoys designing and prototyping systems in Python, R, and C using web and data science tools. He likes new challenges and loves lifelong learning.
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