About Me

I’m a graduate from African Leadership University, majoring in Software Engineering. Currently, I’m working on a security operations validation platform (APT groups, ransomware, phishing attempts) as a Software Engineer at TrustStamp. I’m an open source addict and have been part of the Google Summer of Code working on SecureCodeBox, an open-source framework for automated vulnerability scanning in Kubernetes environments supervised by Jannik Hollenbach. Besides, I also conducted research on during my bachelor thesis on “Enhancing Crisis Response through Fine-Tuned Large Language Models for understaffed Emergency Centers in TOGO”, supervised by Mr. Marvin Ogore and Ms. Samiratu Ntohsi. If you’re interested in working with me or need any career advice feel free to hit me up.
My CV

News

  • August 4, 2025: I started a new position as software engineer at TrustStamp.
  • June 26, 2025: Graduated from African Leadership University with a Bachelor’s degree with First Class Honours.
  • December 22, 2024: Got selected to participate to Middle East North Africa Machine learning conference in Doha, Qatar. I will be presenting a Poster on my bachelor thesis.
  • November 7, 2024: Presented my work during the Linux Foundation Mentorship program at the Linux foundation open source summit Tokyo, Japan.
  • May 1, 2024: My proposal for the Google Summer of Code has been accepted. I will spend the summer working on secureCodeBox project and collaborate with engineers from the OWASP Foundation to build a command-line interface (CLI) to simplify interactions with security scans in Kubernetes.
  • August 28, 2023: Got selected to be part of the Linux Foundation Mentorship program, I will spend the Fall working on developing Test Cases strategies for the LitmusChaos project, a chaos engineering platform.

Research Vision

My long-term research vision is to leverage my interests in distributed systems and machine learning to enhance existing healthcare infrastructure, building sustainable solutions specifically tailored for low-income countries facing data scarcity. I believe this will help cope with the shortages of medical workers.

Selected Research

Enhancing Emergency Response with Fine-tuned Large Language Models for understaffed emergency centers in TOGO

Thibaut BATALE, Samiratu Ntohsi*, and Marvin Ogore* (* Equal Advising)

The Middle East and North Africa Machine Learning (MenaML) february 2025 Doha, Qatar, Poster, Project Page

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