NLP With Google Cloud Natural Language API
Max is a data science and machine learning expert. He has helped to build one of Germany’s most highly funded fintechs.
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As the leader of Toptal's Global Artificial Intelligence services, Chas drives the development and delivery of AI solutions leveraging teams of top talent to execute high-complexity projects. Before Toptal, Chas was integral to establishing and leading a dedicated data science team for the largest practice, private equity, at Bain's Data Science group. He has also been instrumental in advancing the application and integration of data science and AI strategies in numerous Fortune 100 companies.Chas leads Toptal's Global Artificial Intelligence services, delivering AI solutions for complex challenges by leveraging top-tier talent.
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Practice Lead
Chas leads Toptal's Global Artificial Intelligence services, delivering AI solutions for complex challenges by leveraging top-tier talent. He has a strong background in management consulting, with a track record of empowering Fortune 500s, private equity firms, and SMEs to maximize their data. Before Toptal, Chas was integral to Bain's Data Science group, developing data and AI strategies for numerous Fortune 100 companies.
Previously at
Technology Experience
10+ Years
Delivery Manager
Dave is a Toptal Delivery Manager with a focus on AI and data engineering projects. He's led support and development teams to multimillion-dollar successes and has transitioned professional service teams to Agile methodology. His expertise in AI and data engineering ensures project deliveries are both innovative and exceptional.
Previously Managed Client
Technology Experience
15+ Years
10+ Years
of Experience
Adrian is a leading generative AI expert and two-time O'Reilly book author who currently leads Microsoft's Cloud, Data & AI Strategy for Public Sector and Healthcare. Adrian's career spans technical and business roles across diverse sectors, including telecom, fintech, consulting, and IT. Internationally, he has delivered multiple innovative initiatives across North America, LATAM, and Europe. As a key member of the Trusted AI Committee of the LF AI & Data and a Responsible AI Lead at OdiseIA, Adrian champions ethical practices in AI advancements. He is also the author of the Linux Foundation's AI Fundamentals class.
Previously at
20+ Years
of Experience
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Previously at
5+ Years
of Experience
Sam is a bilingual senior machine learning engineer with a background in AI and robotics and a passion for driving innovation. She dedicated the past five years to exploring the best ways to build, optimize, and automate ML pipelines, with a specialization in Google Cloud Platform and TensorFlow. During this journey, she has also had the opportunity to experience many aspects of a business outside of the technical, from line management and recruiting to marketing, thought leadership, and pre-sales.
Previously at
6+ Years
of Experience
Dragos is a passionate machine learning engineer with over three years of experience in artificial intelligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.
Previously at
5+ Years
of Experience
Francesco is a data scientist with over four years of experience, a mathematician by training, and a passionate learner. He is especially interested in bringing value to a team or product, which, in his experience, has often translated to preferring simple, scalable, and understandable solutions instead of unnecessarily complex models.
Previously at
20+ Years
of Experience
Marcelo is an experienced technology leader, infrastructure solutions expert, open-source advocate, and multilinguist. With 20+ years of expertise in purpose-led high availability infrastructure solutions, he has excelled in engineering to executive leadership positions across Europe and Latin America. Marcelo focuses on building highly automated systems and has consistently delivered exceptional results. He is AWS certified and is also an open source enthusiast, Cloud Native Computing Foundation contributor, and Internet Engineering Task Force writer.
Previously at
15+ Years
of Experience
With extensive expertise in engineering and project management, particularly within Agile methodologies, Mihaela excels in driving digital projects from discovery to production. Her leadership promotes team collaboration and exceeds client expectations. Known for fostering innovation and improving processes, she thrives on challenges. Her mastery of generative AI, enriched by courses like "Prompting for AI Operations" and "ChatGPT Advanced Data Analysis," places her at the industry forefront.
Previously at
10+ Years
of Experience
Charles is an industry leader in healthcare NLP with over a decade of experience as a data-science technical manager. As a player-coach, Charles has led multimillion-dollar projects in health-tech Fortune 500s, such as UnitedHealth Group, Philips, and AstraZeneca. Charles also has a PhD in computational linguistics. With over a dozen publications and patents in his field, Charles is an authority in machine learning for named entity extraction and classification.
Previously at
15+ years
of Experience
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.
Previously at
14+ Years
of Experience
Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies like Procter & Gamble and Hearst as well as startups in the healthcare, energy, and finance industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.
Previously at
15+ Years
of Experience
Abhimanyu is a machine learning expert with 15 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.
Previously at
10+ Years
of Experience
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skillset in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
Previously at
7+ Years
of Experience
Michael is a builder who has owned the entire front-end services at AWS. He loves working with go-to-market teams and UX teams collaborating on creative products. Michael is passionate about solving problems for clients and providing robust solutions to delight customers. He specializes in full-stack applications as well as ML and IoT development.
Previously at
15+ Years
of Experience
Christine is a distinguished product leader specializing in AI, cloud computing, and advanced modeling. She led a major financial company's post-merger enterprisewide transformation and a $1.5 billion cloud deal. As a product director, Christine oversaw the creation of a large-scale SaaS investment management platform for high-net-worth clients. At top financial institutions such as Goldman Sachs and JP Morgan, she designs client-facing solutions focusing on data and process automation.
Previously at
10+ Years
of Experience
Filip is a machine learning engineer with several years of professional experience. He's worked on large-scale problems at Amazon Web Services as a software developer and built natural language processing models as a research associate at the University of Zagreb. Filip's main interests are machine learning and natural language processing, with an emphasis on building text classification models.
Previously at
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Max is a data science and machine learning expert. He has helped to build one of Germany’s most highly funded fintechs.
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