Hire Freelance NLP Developers and Engineers
Leonardo Schettini
Leonardo is a skilled data scientist and software engineer specializing in natural language processing. He has led projects for startups and corporates with varying team sizes. His projects are often written in Python and deployed on Kubernetes and Docker environments. Leonardo is calm under pressure and learns and applies new skills quickly.
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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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Ales Franek
Ales is a data scientist with eight years of experience in machine learning, natural language processing, information retrieval, data analysis, and data visualization. He is also a strong Python programmer, writing readable, modular, and efficient code. Ales has often owned all parts of the development cycle, from product discovery to production deployment, focusing on impact, pragmatism, and finding creative solutions to business needs that deliver exceptional value.
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Shelley Nason
Shelley is a full-stack engineer with 15 years experience building software in a variety of industries. She is comfortable starting with rough requirements and working with stakeholders to turn an idea into a useful, appealing piece of software. Shelley writes clean, fast, well-documented, and well-tested code, provides realistic estimates, and works well with teammates. As a student, Shelley spent several years in an AI Ph.D. program and she maintains a strong interest in that field.
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Henrik Sergoyan
Henrik is a data scientist with over six years of professional experience. His primary expertise includes and is not limited to natural language processing, forecasting algorithms, gradient boosting algorithms for tabular data, data scraping, and machine learning operations (MLOps). As a senior data scientist, Henrik works with SQL and NoSQL databases, including MongoDB, and brings strong project management skills and excellence to his work.
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Javier Garcia de Leaniz
Javier is an engineer with over nine years of experience in AI and data science. Beyond his expertise in machine learning, natural language processing, and software engineering, Javier's unique strength lies in harmonizing business with technology. His consulting tenures at EY and Accenture have furnished him with invaluable experience, where he successfully implemented data and AI technology across diverse industries and geographies globally.
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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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Chandrachud Basavaraj
Chandrachud is an experienced machine learning (ML) and artificial intelligence (AI) engineer. He studied at top schools in India and France and was, until recently, CTO of an early-stage AI startup. Chandrachud loves ML, computer vision, and large language models (LLMs) and has delivered high-quality work on various ML projects. He has been building and integrating multiple components to deploy AI systems in production on the cloud. Chandrachud loves to innovate and create cool technology.
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Oliver Holloway
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. With this background, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
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Suresh Kasipandy
Part data scientist and part cloud solutions architect, Suresh excels at taking business problems and setting up end-to-end cloud data systems to solve them. Ranging from streaming data pipelines to data lakes to deep learning systems, Suresh leverages the latest tech and cutting-edge approaches to build robust and fault-tolerant systems that help you leverage business value from your data.
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Darin Erat Sleiter
Darin is a data scientist and engineer with a PhD in physics from Stanford. He's passionate about data and machine learning and has worked on data science projects across numerous industries and applications. Darin's co-founded an AI company and led a team of data scientists to build a product which uses machine learning and optimization techniques to reduce energy consumption in data centers. He's eagerly waiting for quantum computers.
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