Hire Freelance Explainable AI Specialists
Simone Romano
Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, NLP, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.
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Nikola Rahman
Nikola is a highly skilled ML expert with over eight years of experience. He has extensive knowledge in various business and data domains. He has worked on a wide range of projects, from training cutting-edge models for startups to delivering solutions for industry leaders. Nikola has a proven track record of building successful systems from scratch. With his expertise in building machine learning systems from the ground up, he is well-equipped to tackle any challenge that comes his way.
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Arsine Sarikyan
Arsine is a creative and scientifically rigorous data scientist with over three years of experience. Her experience includes designing experimentation processes such as data collection, robustness checks, and explainability, developing ML and AI strategies, and conducting NLP research. She specializes in causal analytics to answer the why question and find hidden patterns and relationships. Arsine contributes to the research community by writing and publishing academic papers.
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Roger Pros Rius
Roger is a data scientist and mathematics engineer with over five years of experience. He has a passion for detecting and solving real-world situations using state-of-the-art analytics, from the definition of the idea to the implementation of the solution. He has worked on different challenges, such as demand forecasting, key levers identification, and industrial process optimization. Roger's academic background is in applied mathematics and statistics with strong coding skills in Python and R.
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Xavier Coubez
Xavier holds a PhD in particle physics and participates in one of the two main CERN collaboration projects. For five years now, he has been working as a postdoctoral researcher at Brown University (USA) and RWTH Aachen University (Germany), developing in-depth knowledge about deep learning. Xavier studied the performance of several generations of algorithms for 3D object identification and worked on medical imaging and genomics projects, eager to apply data analysis to medicine.
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Hammouche Abdessamad
Hammouche is a data scientist and deep learning engineer with over six years of experience designing machine learning models using computer vision and NLP. With a degree in applied mathematics, he can resolve complex business problems easily and efficiently. Hammouche developed the managerial skills to frame and carry out data projects with key account customers.
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Wellington Rodrigo Monteiro
Wellington is a senior data scientist and machine learning engineer with 10+ years of experience designing AI systems, back-end projects, and integrations with existing solutions respecting enterprise architecture requirements for large companies such as ExxonMobil and BRF. He specializes in complex machine learning models such as ensemble models, explainable artificial intelligence, and fair AI. Wellington also works with multi-objective optimization problems in critical applications.
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Fuad Issa
Fuad excels in building machine learning services from prototype to production, leveraging his diverse ML experience to craft rapid prototypes and discover creative uses for models across many domains. With a solid foundation in maths and programming, he stays at the forefront of the latest research, continually enhancing the solutions he provides to clients. Fuad's passion for developing cutting-edge technology solutions makes him a valuable asset to any team seeking to harness the power of ML.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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Jose Luis Moreira Arruda
Jose is a data scientist/ML engineer who's experienced across multiple sectors, including eCommerce, healthcare, and fintech. He is an expert in developing strategic projects and building AI/data products. He easily translates pain points and business goals into tailored AI products and designs. He deploys machine learning and deep learning models for time series, CV, and NLP and integrates them into company systems on the cloud. Jose has led data science projects while mentoring colleagues.
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Felice Rando
Felice is an expert in machine learning, predictive analytics, and big data, having built dozens of solutions across multiple verticals, including finance, fraud, telecommunications, and pharmaceutical research, deriving business value from raw data. He has served both as a practitioner and analytics executive in organizations such as OECD, the University of Washington, First Data, ID Analytics, and multiple start-ups. Felice has a Master's degrees in theoretical and applied statistics.
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