Hire Freelance NLTK Developers and Engineers
Pawel Kaplanski
Pawel is an experienced data-scientists and machine learning professional. He has worked for Fortune 100 companies, and he has an academic background in the field. Before moving to data science, he was a former lead architect in Samsung R&D Center. Pawel holds a Ph.D. in knowledge representation and reasoning as well as a master's degree and a bachelor of science degree in computer science.
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Russell Horton
Russell builds data-driven products and data-driven teams. He has more than 15 years of experience inventing, rapidly prototyping, and deploying products driven by machine learning and natural language processing. Russell loves consulting on data science projects in the early stages.
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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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Alexandra Soroka
Alexandra's always wanted to work with mathematics and language, so she sought out an education that combined programming and linguistics—and has been quite successful. She has about five years of NLP experience at Yandex, a major Russian search engine, and two years at smaller companies plus freelancing. Most of her projects involve entity recognition, but she’s also ranked search results, generated query expansions, and done text summarization.
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Nguyen Phan Khanh
Khanh is a machine learning expert specializing in natural language processing (NLP) and deep learning. With over four years of experience in machine learning and two years as a full-stack developer, Khanh has proven to be an invaluable contributor to both product and consultant companies. He is passionate about and excels in building AI services from scratch.
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Daniel Pérez Rubio
Daniel is an experienced data scientist with a master's in signal theory (telecommunications). He accounts for eight years of professional experience: from impactful seed-phase startups like Ketekelo (CTO, two years) to global companies like BASF (senior data scientist, two years). Daniel strives on challenges, so he's decided to become a freelance data scientist to help Toptal clients achieve excellence with developing their machine learning, deep learning, NLP, and big data solutions.
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Reema Kumari
Reema has 4+ years of experience in machine learning and data analytics across various projects, such as movie scheduling, cargo space optimization, loan recovery, and digital products. She has focused heavily on natural language processing in the digital product space, and she is proficient in Python and R. Reema is also an incoming student in the UCLA Master of Engineering program, focused on artificial intelligence.
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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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Jesús Martínez
Jesús excels at creating high-quality software solutions due to his unique background, which combines 9+ years of top-notch software engineering with 4+ years of machine learning and data science work in areas like natural language processing (NLP) and computer vision, empowering him to be a valuable asset at both ends of the spectrum. He's worked with a wide array of tools and technologies, such as Java, Scala, Python, TensorFlow, NLTK, OpenCV, Mongo, and PostgreSQL, among many others.
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Mohab Ayman
Mohab is a data scientist and machine learning developer, specializing in natural language processing (NLP) and computer vision. He has five years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.
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Masooma Ali
Masooma has over nine years of experience applying data science to problems in domains like astronomy and theoretical physics. She has also worked with automated soft skills coaching and parenting coaching. She has built ML models using both structured and unstructured data and currently enjoys applying ML for natural language processing (NLP) and audio tasks. Masooma also has extensive experience developing software collaboratively and has delivered projects in industry and academia.
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