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 PyPI Downloads

A Python package that auto-patches tf.keras.Model.fit() to log training metrics automatically, with zero changes to user code. Published on PyPI.

DefectNet

A RESTful API for automated detection of defects in printed circuit boards (PCBs) using YOLOv5 deep learning models, built with FastAPI.

Python via Bioinformatics

An interactive Python tutorial and toolkit for bioinformatics, featuring hands-on examples in sequence analysis, data visualization, and algorithmic problem-solving.

AWS Inventory Manager

A scalable inventory management dashboard built with Next.js, designed to streamline inventory processes for businesses of all sizes.

System Pulse dashboard overview

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.

Python ChatBot

A conversational AI chatbot built with Python and TensorFlow, designed to assist users in various tasks through natural language processing.

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.

Cloud Security Monitoring API

A RESTful API for monitoring cloud infrastructure security, providing real-time alerts and compliance reporting.

HanGo

A comprehensive and user-friendly cross-platform application built with Flutter.

Dynamic Feature Selection Algorithm

In this work, I propose an algorithm that uses a concept from game theory, SHAP values, to guide feature selection in ML ensemble classifiers, aiming to improve classification accuracy while maintaining model transparency.

Cognitive Computer-Aided Detection of Breast Cancer Using Mammograms

A comprehensive study on the use of AI in mammogram analysis for breast cancer detection.

SHAP-Based Feature Selection research visual

International Conference on Convergent and Smart Systems

Given the complexity of huge datasets, not all features contribute equally to classification performance—this work proposes a SHAP-guided methodology that identifies and retains only the most relevant and non-redundant features.

ICCSS 2024 Proceedings, Pages 182-190 · Jul 5, 2024

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