Hire Freelance SpaCy Developers and Engineers
Nilan Saha
Nilan is a natural language processing and machine learning expert with a bachelor's degree in computer science and a master's degree in data science specializing in computational linguistics. Nilan has vast experience building large-scale recommendation systems, personalization technology, and NLP algorithms. A Kaggle expert, he has well-cited publications in this domain.
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Marc García Martínez
During the last 15 years, Marc has been working on research and development in artificial intelligence and natural language processing. His vast expertise and experience include being a full-stack developer, DevOps engineer, team manager, product designer, CTO, and startup founder.
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Roland Szabo
Roland is a software developer with experience in various machine learning projects, from NLP and computer vision to time series data. He worked for small startups and big companies, such as Google. For the last 1.5 years, he has worked as a freelance consultant helping companies get started with machine learning projects.
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Belma Ibrahimović
Belma is a dedicated senior full-stack data scientist with over seven years of experience delivering impactful end-to-end data science projects across various industries. She has strong teamwork and communication skills, always ensuring impactful outcomes in varied environments. Belma's greatest passion lies in natural language processing (NLP), where she thrives on unlocking the potential of language data.
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Badr Jaidi
Badr is a data scientist specializing in natural language processing. He speaks four languages fluently and has been in the technology field for nearly a decade, where he has worked on a broad range of projects going from hardware to front-end development.
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Brian Todd
Brian is an experienced data scientist and machine learning engineer with a track record of researching and deploying a wide range of models for natural language processing (NLP) tasks, computer vision algorithms, classical machine learning algorithms, Bayesian statistical models, time series analysis models, and large-scale data mining algorithms.
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Meghana Bhange
Meghana is a machine learning engineer with a passion for solving problems in a data-driven manner. She is currently pursuing her Master's Degree with a research focus on privacy-preserving technologies at the Trustworthy Information Systems Lab, ÉTS Montréal. She has experience in natural language processing and has previously published work at SemEval-2020. Meghana is passionate about working on creative projects and always looks for new ways to apply her skills.
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Radu Nedelcu
Radu has been writing code since the age of 14. He has since built a career in data science and worked on projects in computer vision, text analysis, and financial data algorithms. His engineering background paired with his algorithm expertise enables him to work on the full pipeline from idea generation to proof of concept, development of the product to bringing it to production. He's excited about his next challenge and can't wait to get started.
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Khaled Abdelhamid
Khaled is a senior machine learning engineer with four years of experience building state-of-the-art solutions. He is passionate about natural language processing and computer vision. Khaled specializes in web scraping, data collection, and publishing competitive datasets in the Arabic language.
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Jeremie Charlet
Jeremie is a full-stack data scientist focused on natural language processing and tabular data. He has a decade of experience in the IT industry, working for the UK government, large corporates, and startups while taking multiple hats as a back-end developer, DevOps, data scientist, and startup technical co-founder. He led two communities on ML and mental health, and last but not least, he is an avid reader and lifelong learner who did many retreats.
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Ana Mamatelashvili, PhD
Ana is a problem solver that enjoys finding and fixing needs while supporting her team. As a data scientist with a Ph.D. in pure maths and a current obsession with MLOps, she experiences profound joy in projects such as commit passing CI/CD, BI investigation to understand the process to model, project demos, data versioning, and graphs. So far, Ana successfully trained and logged models, saw an abstract pure maths concept improving her model, and had her code dissected at a code review.
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