Mustafa Dursunoglu

Mustafa Dursunoglu

Machine Learning / AI Engineer & Researcher

Final-year Computer Science student at Carleton University, specializing in Artificial Intelligence and Machine Learning with a minor in Statistics. Currently focused on Multi-Agent Systems, Reinforcement Learning, Transformers, Inverse RL, and AI Safety. Passionate about understanding how intelligent agents make decisions, coordinate, and compete, drawing on Multi-Agent Systems, Public Choice, Control Theory, and Game Theory.

Education

M.Sc. Data Science, Analytics, and Artificial Intelligence

Carleton University, Ottawa, ON — Incoming Student — Expected 2028

Sept 2026 – 2028

B. Computer Science Honours (Co-op)

Carleton University, Ottawa, ON — Specialization: AI/ML · Minor: Statistics · GPA: 3.5 / 4.0

2021 – 2026

Machine Learning Specialization

DeepLearning.AI

2024

Google Data Analytics Certificate

Google

2022

Skills

ProgrammingPython, R, SQL, C++, Java, JavaScript
ML / DataPyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, OpenCV, Matplotlib
ToolsAzure, SQL Server, MySQL, Git, Nvidia Isaac Simulation, LLaMa cpp

Projects

Experience

Risk and Data Analyst (Co-op)

Jan 2025 – Aug 2025

Measurement Canada

Developing data-driven risk models to support regulatory oversight, analyzing noncompliance trends in electricity and gas meters, and contributing to digital transformation by improving data workflows and reporting tools.

Data Scientist (Co-op)

2023

R3Lab

Conducted research on swarm intelligence and prompt engineering, led data collection and preprocessing efforts, and developed AI-driven solutions aligned with emerging technologies such as IoT and quantum computing.

Data Governance Analyst (Co-op)

2022 – 2023

Royal Canadian Mounted Police (RCMP)

Supported enterprise data management through metadata documentation, data lifecycle analysis, and risk assessments; contributed to data quality initiatives and regulatory compliance by evaluating system impacts and governance practices.