Diane Tuyizere

Machine Learning Engineer @ TrustStamp.ai

Brussels, Belgium

I am an Artificial Intelligence (AI) engineer with a deep interest in Computer Vision, Natural language Processing, and Robotics. I currently work as a Machine Learning Engineer for TrustStamp AI, a USA-based company with offices in Kigali, Rwanda. Despite my Software Engineering experience, I have a strong mathematical foundation and practical experience in deep learning/NLP and Computer vision. Through different research and professional working experience, I’m equipped with hands-on skills in topics related to image/speech processing, computer vision, Large Language Model development, and humanoid robotics. I am dedicated to pushing the boundaries of what I can achieve, and I’m eager to contribute my technical expertise and enthusiasm to pioneering innovations in the industry and beyond.

Top roles

Software Administrator< 2 years

Data Analyst< 2 years

Machine Learning Specialist< 2 years

Front-end

JavaScript

Node.js

Miscellaneous

Database

Machine Learning

Cloud

Back-end

Python

Language

Native Korean

Korean

Native

English

Fluent

Dutch

Average

Work experience

Since 2021

Machine Learning Engineer @ TrustStamp.ai

01 August 2024 -

Develop, train, and optimize ML models using Pytorch, TensorFlow, and Keras.

Research assistant @ Carnegie Mellon University Africa

01 May 2023 -

Developed interactive dashboards utilizing the Dash framework.

Graduate Teaching Assistant: Applied Computer Vision @ Carnegie Mellon University Africa

01 January 2024 - 31 May 2024

Preparing recitation and leading lab sessions related to applied computer vision concepts.

Software developer-internship @ Ministry of Agriculture and Animal Resources

01 May 2023 - 31 July 2023

Designed and developed a robust Farmer Management System.

Data Analyst and Desk Researchers @ Executive Assist Africa

01 January 2022 - 31 August 2022

Conducted thorough data analysis to extract meaningful insights.

Junior Data Scientist @ Zummit Infolabs

01 June 2021 - 31 October 2021

Increased team efficiency by solving business clients’ problems using ML techniques.

Education experience

Since 2017

Artificial Intelligence @ Carnegie Mellon University

01 August 2022 - 12 May 2024

MSc in Engineering Artificial Intelligence with a focus on NLP and Humanoid Robotics.

Computer Science @ African Leadership University

01 September 2017 - 24 May 2021

BSc in Computer Science with a major in Artificial Intelligence.