Data Science and Databases

Akshay is a software developer, CTO, and technical lead with full-stack, web, mobile, and machine-learning expertise. He has deep experience solving real-word problems with AI, and has developed AI algorithms for blood tests to improve diagnostics accuracy and patient outcomes.

Jedrzej is a machine learning engineer who specializes in AI and data science. He has delivered several NLP-based classification algorithms and reinforcement learning solutions to clients, and has worked alongside researchers at Princeton University developing ML and data analytics tools. Jedrzej has partnered with clients in multiple industries, including service, finance, and insurance.

Reza is a machine learning engineer specializing in natural language processing and computer vision. At IBM, he developed machine learning algorithms designed to improve text classification and automate model training, innovations that resulted in six patents. Reza has a master’s degree in engineering from the University of Toronto.

Joao is an AI developer who holds a Quantum Excellence Certificate from IBM. He specializes in machine learning and deep learning and has partnered with Fortune 100 companies like Procter & Gamble and Hearst. Joao has more than 14 years of experience and holds a master’s degree in computer engineering from the University of Porto.

Neven is an artificial intelligence engineer with extensive experience in machine learning, computer vision, algorithms, and a range of AI-related technologies. Prior to founding an AI R&D consulting company, Neven helped create and train cutting-edge computer vision models used by healthcare, e-commerce, real estate, and financial services companies across the globe.

Necati is a software engineer specializing in data science, machine learning, back-end development, and DevOps. He is an AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist with a doctorate in computer engineering. Necati serves as Chief AI Officer and CTO of Datagran, a machine learning automation company that he co-founded.

Madelyn is the Lead Editor of Engineering at Toptal and a former software engineer at Meta. She has more than six years of experience researching, writing, and editing for engineering publications, specializing in emerging technologies and AI. She previously served as an editor at USC’s Viterbi School of Engineering and her research on engineering ethics was published at IEEE’s NER 2021 conference.

Joao is an AI developer with more than 10 years of experience at Fortune 100 companies like Procter & Gamble and startups in the healthcare, energy, and finance industries. Joao holds a master’s degree in computer science from the University of Porto and has multiple certifications in ML and deep learning.

Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences including SPIRE and ICCS.

Daniel is a data scientist, developer, and former CTO who has specialized in NLP for more than six years, most recently focusing on large language models (LLMs). His experience includes being a senior data scientist at BASF and Daimler.

Pankaj is a back-end developer and Microsoft Certified Professional with more than 18 years of experience within the Microsoft ecosystem, including C#, VB.NET, SQL Server, and cloud computing with Microsoft Azure. He has worked as a .NET developer at companies including Granicus, Gartner, and Jacobs.

Federico is an expert Python developer and data scientist who has worked at Facebook, implementing deep learning models. He is a university lecturer, and his PhD research focuses on natural language processing and machine learning.

Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences, including SPIRE and ICCS.

Michael is a developer, data science consultant, and expert in supply chain optimization for heavy industry clients in rail, vessels, and mining. He has a PhD in mathematical optimization and was a consultant in the analytics practice of McKinsey & Company’s QuantumBlack for four years.

Surbhi is a data scientist and developer with expertise in machine learning and robotics. A former senior data science engineer at Utopia Global, her experience ranges across ML fields including NLP, computer vision, and OCR. She has a master’s degree in mechatronics, and has published research in the field of robotics and optimization.

Leandro is a data scientist and machine learning developer who creates solutions for companies, including Profasee and Boston Consulting Group. He has expertise with TensorFlow, Spark, Python, and R.