Our Team

Justus holds a PhD in Economics and has a decade of data science experience. He has worked in engineering consulting, and led data projects for large organizations, start-ups, non-profits, and academic institutions. He co-founded TEA for professional training, and leads data science and AI projects at Rubidium Data.

Bruno is a former National Director at the Ministry of Security in Argentina, where he pioneered the use of data-driven methods for crime-scene pattern analysis. He now assists organizations in reaching their goals through strategic talent acquisition and oversees TEA: Our partner for professional training.

Bartolomeu is a passionate and practical full-stack developer with a wealth of experience in building scalable and user-friendly tech solutions for startups. He enjoys working with a variety of tools and technologies, and has been building with Large Language Models before it became hype.

Ijeoma is a mobile app developer with 4+ years of experience building cross-platform applications for IT companies worldwide. With a deep understanding of the software development cycle, she maximizes its capabilities to deliver top-notch, high-performance applications.

Tom holds a Bachelor’s degree in Mathematics and Computer Science, specializing in AI, machine learning, big data processing, and AI implementation using LLMs. He is passionate about developing data-driven solutions to complex business challenges, emphasizing actionable insights and measurable outcomes across various industries.

Nila is an experienced Systems and Cloud professional, specializing in cloud solutions and system administration. Holding a BSc in Communication and Information Engineering, he has expertise in IoT systems, cloud architecture, and software development. Certified in AWS, Oracle Cloud, and Microsoft Azure, he optimizes and secures IT infrastructure.

Caleb is a skilled Cloud Engineer with a focus on AWS and Azure systems. He specializes in IT infrastructure management and backend development. His particular interest lies in optimizing IT infrastructure and implementing innovative solutions. Caleb holds AWS Certified Solutions Architect – Associate and AWS Certified Cloud Practitioner certifications.

Merve is a full stack developer who trained at Tech Expert Academy, specializing in providing frontend and backend solutions. She combines her expertise to create visually appealing and functional web applications. She focuses on expanding her skill set in full stack development and keeping up with industry trends, with a keen interest in data science.

Michael is a cybersecurity expert with a software engineering and infrastructure background. He focuses on cloud security, ISO 27001, and training. He has experience in startups and enterprises, addressing threat modeling, incident response, and phishing. Michael speaks globally, mentors, and contributes to open-source security projects.

Richard is a data scientist with a BSc in Geology, specializing in machine learning, natural language processing, and graph databases. Passionate about leveraging LLMs and AI to address industrial challenges and advance scientific research, blending technical expertise with a strong foundation in geological studies to drive innovative solutions.

Tobiloba has a BSc in Accounting and is a certified Cloud Solutions Architect, Data Analyst, and Project Manager. He specializes in Data Science, Machine Learning, and Data Engineering, with a focus on solving problems using financial data to uncover insights and improve decision-making.

George holds a Higher National Diploma in Accounting and specializes in data science, data analytics, machine learning, natural language processing, and generative AI. His primary interests lie in data analytics, model building, research, and problem solving.

Solomon is a frontend developer with a B.Eng. in Electronic and Computer Engineering from the University of Nigeria. He specializes in fullstack JavaScript development . Solomon’s main focus is designing and building responsive, scalable web applications that solve real-world problems and perform efficiently across devices.