Hire Freelance Speech Recognition Engineers
Danilo Onishi
Danilo is a machine learning engineer with a master's degree in computer science from the Nagoya Institute of Technology and 7+ years of experience in automatic speech recognition (ASR), natural language processing (NLP), and audio classification. From research to production, he's been involved in all steps of the ML lifecycle. He also designs data pipelines and performs training, evaluation, and deployment of deep learning models for education and business intelligence applications.
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Lukas Grasse
Lukas has a B.Sc. in Computer Science, M.Sc. in Neuroscience and is currently pursuing a Ph.D. in Neuroscience at the University of Lethbridge. He has experience in machine learning, robotics, and other industries. His current research focus is on speech recognition in noisy environments. Prior to starting graduate school, Lukas worked at a company called GuildOne as a software developer. Throughout his schooling, he has also worked as a freelance developer on various projects.
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Matthias Denecke
Matthias is an analytical, highly adaptable computer scientist with extensive experience in machine learning, artificial intelligence, and natural language processing. He is skilled in providing guidance to resolve complex technical challenges. As a technical lead, he has a track record of success architecting, developing, and deploying commercial solutions using artificial intelligence.
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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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Raphael Lenain
Raphael graduated with a master’s degree in computational and mathematical engineering from Stanford with a specialization in Deep Learning research. He has worked as first engineer in two seed stage London startups, defining their research and Machine Learning (ML) engineering culture. His specializations are in speech and Natural Language Processing (NLP). Raphael has published papers at top ML conferences such as ICML and INTERSPEECH and is the main author on a widely adopted Python package.
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Michel Meneses
Michel is a senior AI/ML engineer with comprehensive experience leveraging the latest AI research into development across multiple domains. With a solid technical background in ML and software engineering, Michel has assisted enterprises in successfully prototyping, benchmarking, and developing cutting-edge AI systems used by millions worldwide while authoring innovative scientific papers and patents.
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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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Oleksandr Malovichko
Oleksandr is a senior iOS engineer with over 13 years of experience in software development for mobile and tablet devices. Oleksandr is dedicated to continuously discovering, evaluating, and implementing new technologies to maximize development efficiency.
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Dawid Smoleń
Dawid has delivered more than 30 successful projects in the data science and machine learning areas. He worked with both classical and deep learning solutions in a few industries. He is focused on creating systems regarding MLOps best practices and design patterns. Having experience with many cloud providers, he is able to automate the whole ML process from data gathering to automated deployments and continuous training.
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Roberto Barboza
Roberto is a software engineer with over a decade of experience primarily dedicated to building efficient data-processing pipelines in both hardware and software. He's worked in a range of industries/fields (media, NLP, defense, electronics) and tools/technologies (BigQuery, Python, VHDL, SQL, FPGA). Besides a demonstrated history of delivering solutions that vastly improve performance, Roberto brings an analytics-driven mind and a problem-solving attitude to any challenge.
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Joshua Barnett
Josh is a lead site reliability engineer with experience hiring and inducting new team members. He has trained engineering teams with regard to debugging services through observability tooling, operating development environments, and building CI/CD pipelines.
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