Arsène Adjevi

Arsène Adjevi

Artificial Intelligence Research Engineer

Hi, I'm Arsène, a Research Engineer with a strong background in Artificial Intelligence and Embedded Systems. I'm currently pursuing an Erasmus Mundus Joint Master in Biomedical Engineering (EMMBIOME), focusing on Edge AI, Intelligent Medical Devices, and Embedded Systems.

I work at WORK3 Technology (MedixBot Ltd.) where I develop intelligent embedded medical devices for continuous glucose monitoring, integrating ML models into resource-constrained, real-time embedded systems. Previously, I worked as a Machine Learning Engineer at GoTogetherAI, where I architected the first version of the GoTogetherAI API.

My research interests lie in Deep Reinforcement Learning, High Performance Computing, and Explainable AI for safety-critical systems. I'm seeking a Master 2 research internship, with the goal of continuing as a Research Engineer Or Continue to PHD.

Contact: [email protected]

Arsène Adjevi

Publications

You can check my ResearchGate for more details about the publications.

Smart Gloves IoMT

Utilizing IoMT-Based Smart Gloves for Continuous Vital Sign Monitoring to Safeguard Athlete Health and Optimize Training Protocols

M.H.B. Ucar, A. Adjevi, F. Aktaş, S. Solak

Sensors, 2024

Data Hiding Steganography

Robust Data Hiding Method Based on Frequency Coefficient Variance in Repetitive Compression

S. Solak, A.M. Abdirashid, A. Adjevi, A.K. Sahu

Expert Systems with Applications, 2024

Blood Glucose Prediction

Comparative Evaluation of Machine Learning and Deep Learning Models for Blood Glucose Prediction on the OhioT1DM Dataset

A. Adjevi, D.O. Jaccowang, R.N. Adeleye, D.A. Opeyemi, S. Uzun, M.Z. Yıldız, A. Lazım, R.P. Mwita

Preprint, 2025

Experience

R&D Engineer – Embedded Medical Systems

WORK3 Technology (MedixBot Ltd.)

2021 – Present

  • Development of intelligent embedded medical devices for continuous glucose monitoring.
  • Integration of ML models into resource-constrained, real-time embedded systems.
  • Optimization on ARM-based multi-core architectures with safety and reliability constraints.

Machine Learning Engineer

GoTogetherAI

2024 – 2025

  • Architected and developed the first version of the TogetherAI API codebase in Python.
  • Refactored the API using Go for improved performance and maintainability.

Education

Erasmus Mundus Joint Master – Biomedical Engineering (EMMBIOME)

U-Kragujevac (Serbia), U-Patras (Greece)-UMF (Romania)

Edge AI, Intelligent Medical Devices, Embedded Systems

2024 – 2026

M.Sc. Information Systems Engineering

Kocaeli University, Turkey

Reinforcement Learning, High Performance Computing, Game Theory

2023 – 2025

B.Sc. Information Systems Engineering

Sakarya University, Turkey

2019 – 2023

Skills & Expertise

Programming Languages

Python, C/C++, CUDA, ARM Assembly, Golang

Frameworks & Tools

PyTorch, NumPy, JAX, Gymnasium, Linux, Git

Research Interests

Deep Reinforcement Learning, High Performance Computing, Explainable AI for safety-critical systems

Honors & Awards

Erasmus Mundus Scholar (2024–2026), Türkiye Scholarships Excellence Award, Top 3 Student at Sakarya University