Master of Computer Science

2023 - 2025

Hanyang University, Seoul, South Korea

• Focused on advancing the field of Machine Learning by designing custom algorithms for explainable AI (see portfolio).
• Pioneered cutting-edge research in adversarial ML, Secure and explainable AI.
• Published and presented research work in both internal and International symposiums, driving adoption of novel techniques within industry and academia, through peer-reviewed experimentation and open-source contributions.

Bachelor of Computer Science

2017 - 2021

Ndejje University, Kampala, Uganda

• Graduated Top of Class — 1st Class Honors
• Built a solid foundation in algorithms, data structures, systems programming, and software architecture.
• Fluent in Python, C++, and JavaScript—built 10+ academic and real-world projects ranging from operating systems to full-stack web platforms.
• Delivered robust database systems, custom OS components, and full-stack web applications from scratch (see portfolio).
• Led collaborative, high-impact team projects of 5~8 members, through innovative problem-solving, delivering two major software projects ahead of schedule with 98% code coverage.

English :

Native/Bilingual Proficiency

Korean :

Conversational/Businesss Proficiency

AI Research Engineer

2025/03 - Present

SeoulTech, Seoul, South Korea

Pioneering research, development and deployment of deep learning models and end-to-end ML pipelines to turn scientific research into real-world industrial applications.

• Developed user-friendly Web and Desktop GUIs for computer vision pipelines, increasing accessibility for non-technical researchers and achieving adoption across 100% of all collaborating lab teams.
• Built and deployed a microscopy image analysis platform (YOLOv8, Streamlit, PyTorch) automating detection, segmentation, and bacterial growth-phase estimation, reducing manual counting and labeling effort by up to 90%.
• Led development of an end-to-end pipeline for detection and tracking on large-scale video and image datasets, tripling batch processing throughput and cutting validation time by 50% with automated reporting and QA.
• Pioneered development of a video data analysis pipeline with frame extraction, annotation, dual-threshold segmentation, detection and tracking, improving experiment reproducibility and analysis turnaround by 70%.

Machine Learning Research Assistant

03/2023 - 02/2025

Hanyang University, Seoul, South Korea

Conducted research on advanced ML algorithms and model optimization using Python, TensorFlow, and PyTorch.

• Conducted research on AI-Based Cybersecurity, designing secure model training pipelines and feature engineering strategies for large heterogeneous datasets.
• Designed an algorithm for dynamic feature engineering in ensemble classifiers, boosting threat analysis accuracy and model reliability (xAI) for Windows, IoT, and embedded systems; work was presented at the ICCSS 2024.
• Conducted hands-on reverse engineering and security audits on IoT and embedded systems using IDA Pro and Ghidra, achieving a 62% vulnerability detection rate.

Software Engineer - Intern

05/2019 - 08/2019

Stratcom, Kampala, Uganda

Contributed to the development, debugging and maintenance of web applications.

• Collaborated with senior engineers to improve reliability of existing features.
• Gained hands-on experience in DevOps practices.
• Utilized HTML, CSS, JavaScript, and React for front-end development.
• Worked with Node.js and MongoDB for back-end development.