Hello, I am
Software Engineer | AI/ML
About Me
Greetings!
I’m a curious Software Engineer who thrives at the intersection of code and creativity.
I’ve developed seamless web applications, applied machine learning in various fields, and continually seek better ways to solve complex problems.
Whether I’m designing scalable systems or playing with predictive models, I chase elegant solutions to complex problems—with a healthy dose of curiosity along the way. I believe technology should empower and inspire.
I'm eager to grow with a team that values innovation, collaboration, and thoughtful engineering.
Sumary
Stuart Asiimwe
Innovative Software & ML Engineer with 5+ years of experience designing and developing user-centered software from initial concept to final, polished deliverable.
- Seoul, South Korea
- (010) 8308-48xx
- stuartasiimwe7@naver.com
Education
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 my 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
Professional Experience
Software Engineer (AI/ML)
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.
Machine Learning Research Assistant
03/2023 - 02/2025
Software Security Lab (HYU), 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.
Portfolio
Explore a curated list of my featured projects and research—spanning Machine Learning, Research, and Software Engineering.
- ML
- SW Dev
- Research
BlackBoxML
A Python package that auto-patches tf.keras.Model.fit() to log training metrics automatically, with zero changes to user code. Published on PyPI.
System Pulse
@stuartasiimwe7/system_pulse — A full-stack monitoring and observability platform built with FastAPI and Next.js, designed to provide real-time system insights and business intelligence for modern applications.
DiagnoseCloud
DiagnoseCloud is a cloud-based platform for automated medical image analysis. It uses deep learning to assist radiologists in detecting and diagnosing breast cancer from mammograms - see research publications here.
Skill Set
I have experience using but not limited to the following technologies:
Languages
C++, Python, and TypeScript
Frontend
React, Next.js
Backend
FastAPI, Node.js with Express
Databases
MySQL, PostgreSQL, MongoDB
AI & Machine Learning
TensorFlow, PyTorch, Scikit-learn
Cloud & DevOps
AWS, Docker, Kubernetes, Git, Jenkins, Prometheus, Grafana
Contact
Feel free to reach out for collaboration, questions, or professional connections. I look forward to hearing from you!
Address
222 Wangsimni-ro, Seongdong-gu, Seoul, 04763
Call Me
+82 10 8308 4870
Email Me
stuartasiimwe7@naver.com