Hire Freelance Gurobi Developers and Engineers
Joël Raucq
Joël has 21 years of international experience both in startups and corporate environments. His fields of expertise are advanced analytics (data science, AI, machine learning, optimization) and object-oriented software engineering (Python, R, Java, C++). In Joël's career, he has held both consultant and internal positions. In addition to IT and model development, he also has experience in leadership, project management, and advisory to data science team leaders.
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Darron Fuller
Darron has 15 years of experience in R&D and client-facing roles as lead engineer of mission-critical artificial intelligence and machine learning and advanced analytics software for notable clients in global media, renewable energy industries, and the U.S. Department of Defense. Darron holds a BSc in computer science and an MSc in data analytics engineering with disciplines in AI and machine learning, decision optimization/mathematical modeling, and computational statistics.
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Carlos Guerreiro
Carlos is an exceptional data generalist who brings vast experience in the design, implementation, and validation of data-intensive systems to all of his projects, along with deep expertise in machine learning and real-time stream processing. He has worked in the eCommerce and media industries, working for large corporations and startups. Carlos is a versatile engineer and looks forward to his next challenge.
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Rafah Alomar
Rafah is a Java and Python enthusiast with over four years of software development experience across many domains, including eCommerce and advertisement. She is experienced with technologies such as Spring Boot, Hibernate, Kafka, Caffeine, Memcached, Scikit-learn, Pandas, Flask, and many others. Rafah is also a researcher, with her master's thesis being centered on natural language processing tasks.
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Joakim Skarding
Joakim is a computer scientist with a strong math background and experience in optimization and machine learning. He's excited about difficult challenges that can be analyzed and tackled with math.
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Diego Kiedanski
Diego is a Computer Engineer specializing in internet measurements and data analytics for internet traffic patterns. He has worked as a machine learning consultant on projects ranging from price optimization for insurance companies to remote sensing and computer vision to detect schools in remote areas for UNICEF. Diego has worked on three continents, from Yale University (USA) to national train companies (Luxembourg) and South America.
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Guillem Duran Ballester
Guillem is a machine learning engineer and AI researcher with a strong passion for education and open source. He works with companies to develop innovative machine learning solutions that provide business value. Guillem enjoys helping clients understand how they can benefit from the latest discoveries in AI.
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Michael Hopf
Michael is a specialized consultant working on DS projects, especially in the logistics and manufacturing sectors. He's worked on various supply chain optimization projects improving logistics for heavy industry clients like rail, vessels, and mining. He's worked with advanced AI projects involving object detection and NLP. Michael has a PhD in mathematical optimization and was a management consultant in the analytics practice of McKinsey & Company, currently Quantum Black, for four years.
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Marko Kosović
Passionate about learning and improving his abilities, Marko enjoys being on the cutting edge of software development. As a full-stack developer he is very comfortable with many frameworks and languages, however most confident in his work with C# and ASP.NET. Although very competitive, Marko is a good team player that can both follow instructions and take charge when needed.
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Teja Arikati
Teja is a versatile data scientist with over five years of experience and a postgraduate operations research (OR) degree from Cornell. His experience ranges from implementing end-to-end machine learning solutions to leading a team of data scientists and analysts. Teja is always ready to deliver production-quality results to any data science project.
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Bhoumik Shah
Bhoumik is a machine learning and operations research specialist with six years in AI, notably in ads moderation, linehaul cost optimization, and McKinsey's routing tool. He's excelled in cost reduction and system efficiency, adept with jsprit, OR-Tools, and ML model development. With both a bachelor's and master's degree in mechanical engineering, with a focus on operations research, Bhoumik also holds certifications in deep learning and related fields.
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