Hire the Top 3% of AI Developers in 48 Hours

Francesc is a machine learning engineer and data scientist passionate about building pipelines to automate tasks. He has a PhD in artificial intelligence and 8+ years of experience in the data science sector. He's been working in consultancy firms and technology companies contributing with an innovative attitude and an always-learning spirit.

Isaac brings extensive experience in applying machine learning (ML), including Generative AI (GenAI), across diverse fields and complex challenges. He has worked on ML applications in ad security, supply chain management, business analytics, image tracking, healthcare technology, hardware, and failure prediction. Isaac has successfully led teams and managed projects from initial conception through full deployment in both startup and enterprise environments.

Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.

Hafiz is a full-stack developer with more than four years of experience developing robust applications for high-volume businesses in an agile environment. He is a problem-solving team player with a can-do attitude and phenomenal communication skills. Hafiz has been working as a remote independent contractor with companies all over the globe.

Kaustubh is an experienced machine learning and artificial intelligence engineer with a proven history of working in the field of natural language processing. Proficient in TensorFlow, Python, C++, big data, big data analytics, and Linux, he applies a strong technical skill set to complex challenges. With a master of technology degree in computer science from the Indian Institute of Technology, Delhi, Kaustubh combines advanced education with practical expertise.

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.

Nimrod is a researcher, consultant, and developer with 12 years of experience and expertise in software architecture and development, mathematical modeling, and algorithm development, in fields such as mathematical optimization, AI, algorithmic game theory, and operations research. Early in his career, Nimrod was a software engineer and tech team lead at Google, and he holds a PhD in computer science. From a polymath perspective, his EBS numbers are Erdös 3, Sabbath 7, and, arguably, Bacon 6.

Petr is a freelance IT developer and startup co-founder with 15+ years of experience in software automation, cloud services, artificial intelligence, and management consulting. He has worked with large companies and small startups and knows how to save time and costs by building things right the first time, reliably, and securely. Petr prefers innovative projects with high personal responsibility, especially in web services, automation, and new tech.

Mehdi is a data scientist and machine learning/deep learning expert who has extensive experience in software development and mathematical/statistical modeling. He has worked in the aerospace, manufacturing, and healthcare industries developing custom, data-driven predictive software tools. He is proficient in translating business goals into data products and architecting the entire pipeline to the point of delivery. His work has led to multiple patents, publications, and successful fundraising.

William has three years of professional experience in data science and artificial intelligence. Key projects include text classification to identify hate speech in social media and fraud detection applications. He specializes in data analysis, data visualization, and predictive modeling, and his strongest programming language is Python. William is diligent and obsessed with quality.

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.