Our Team

Our interdisciplinary team is composed of economists, data scientists, machine learning engineers, full-stack developers, and experts in backend, frontend, and cloud engineering. This diverse blend of skills allows us to tackle complex challenges from multiple angles, ensuring innovative and efficient solutions.I

Justus Schollmeyer

Co-Founder

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 Danelon

Co-Founder

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.

Christian Kroll

Advisor

Christian is an entrepreneur best known as the founder and CEO of Ecosia, a search engine that uses its revenue to fund tree planting and reforestation projects around the world. He started Ecosia in 2009 while he was still a college student and since then, the company has grown significantly, with now over 210 million trees planted.

Bartolomeu Rodrigues

Full-Stack

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 Ubani

Full-Stack

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

Can Kahraman

Machine Learning

Can is a professional adept in machine learning, data science, deep learning, LLMs, and generative AI. Proficient in various frameworks and libraries, he transforms data into insights and manages large-scale projects effectively. Keeping pace with the AI landscape, he stays updated on trends and technologies.

Tom Odhiambo

Machine Learning

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.

Thavapalan Thirunilavan

Cloud Engineer

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.

Andrew Nzioki

Backend Engineer

Andrew holds a Bachelor’s degree in Mathematics and Computer Science. Specializing in backend development with FastAPI and React.js, he is passionate about system reliability, advanced DevOps practices, and system architecture design. His expertise ensures robust and efficient backend solutions.

Caleb Kalu

Cloud Solutions

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 Türkmen

Full-Stack

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.

Kevin Kehenzi

Full-Stack

Kevin, a full-stack developer with a background in Electrical and Electronics Engineering, excels in both front-end and back-end development. Specializing in AI and cloud computing, he is proficient in data structures, algorithms, and ML engineering. Kevin is dedicated to driving innovation and delivering robust, efficient software solutions.

Hasan Zeyrek

Machine Learning

Hasan, a mathematics graduate from Bogazici University, is a dedicated Machine Learning & NLP Engineer with expertise in big data, generative AI, and LLMs. Hasan thrives in collaborative environments, tackling complex problems with a strong analytical mindset. In his free times, Hasan stays active through sports such as rowing and cycling.

Richard Kilea

Machine Learning

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.

Daniel Mera Luna

UX & Data Science

Daniel, an architect turned UX specialist, focuses on data-driven product development. Leveraging his architecture and UX background, he creates functional, aesthetically pleasing solutions. Proficient in Figma, Webflow, Adobe Suite, HTML, CSS, and JavaScript, enhancing collaboration with developers.

Tobiloba Odeyemi

Machine Learning

Tobiloba has a BSc in Accounting and is a certified Data Analyst, Project Manager, and AWS Cloud Practitioner. 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 Boniface

Machine Learning

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.

Ahmet Kaan Ümer

Machine Learning

Kaan, a Chemical Engineering graduate from Bogazici University, specializes in machine learning and AI. His interests are centered around natural language processing and generative AI, exploring innovative solutions and advancements in intelligent systems.