👋 Hello, I'm

Ardalan Askarian

Software Engineer | CS Student | Machine Learning & Data Analytics | Full-Stack & Scalable Systems

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About Me

Software Engineer with hands-on research and development experience

I'm a software engineer and computer science student passionate about building scalable, data-driven systems that power innovation in real-world industries. My focus lies in machine learning, full-stack development, and algorithm optimization, with a strong interest in applying these skills to digitalization and smart technologies.

At the BEAP Lab, I led development of the BEAP Engine, a platform for large-scale smartwatch analytics where I designed front-end and back-end systems, integrated machine learning pipelines, and optimized algorithms that boosted data accuracy and processing speed by 40%. This experience sharpened my ability to engineer solutions that are both research-driven and industry-ready.

Beyond research, I've served as a teaching assistant for six core CS courses, mentoring over 100 students in programming, algorithms, and operating systems. I'm now eager to contribute to cutting-edge projects in AI, IoT, and scalable software systems, where I can bring both technical expertise and a collaborative mindset to advance digital transformation.

🎓 Current Status

US
University of Saskatchewan
Bachelor of Science (Honours) - Software Engineering Option
BEAP Lab Logo
Software Developer Intern @ BEAP Lab
Research & Development • Oct 2024 - Sep 2025
WM
Software Engineer @ Wellman Medical Group
Healthcare Technology • Sep 2025 - Present
TA
Teaching Assistant @ University of Saskatchewan
6 Core CS Courses • Jan 2023 - Present
📄 Download Resume

🛠️ Technical Skills

🐍
Python
📊
R
⚡
JavaScript
🌐
HTML/CSS
🤖
Machine Learning
🗄️
Database Systems
🧠
AI & Deep Learning
⚛️
Full-Stack Dev
📈
Data Analysis

🎯 Focus Areas

Algorithm Optimization Full-Stack Development Data Analysis Scalable Systems

Featured Projects

A selection of my recent work

📊🤖🐛

Fine-Tuning LLMs for Automated Bug Classification

✅ DONE RESEARCH

Comprehensive research project investigating fine-tuned Large Language Models for automated bug classification. Manually labeled 1,552 GitHub bug reports across React, VS Code, Scikit-learn, and TensorFlow repositories. Achieved 94.54% accuracy with GraphCodeBERT, significantly outperforming traditional ML approaches.

🎯 Research Focus

Transformer-based models vs traditional ML for bug classification with 7 categories

🏆 Results

GraphCodeBERT: 94.54%, CodeBERT: 93.99%, DistilBERT: 92.90% accuracy

👥 Team Members

Ardalan Askarian, Princess Tayab, Timofei Kabakov, Marmik Patel

💻 GitHub Repo 📄 Full Paper 📊 Presentation
🤖🖼️

AI-Assisted Image Annotation Platform

🔬 CURRENT RESEARCH

Leading the development of an advanced AI-assisted image annotation platform for the IMG Lab. This Django-based system combines machine learning with human expertise to mass-label datasets for computer vision applications, focusing on improving inter-annotator agreement (IAA) and annotation efficiency.

🎯 Research Focus

Human-AI collaboration in annotation workflows and inter-annotator agreement optimization

🛠️ Tech Stack

Django, Python, JavaScript, OpenCV, scikit-image, HTML/CSS

🎯 Impact

Improving annotation efficiency and consistency for computer vision datasets

🔒 Private Research
Circuit Optimization

AI-Powered Circuit Optimization

🚧 IN DEVELOPMENT

Developing machine learning algorithms for electronic circuit layout optimization. This project explores the intersection of AI and Electronic Design Automation (EDA), focusing on improving chip design efficiency through intelligent placement and routing algorithms.

🎯 Research Focus

Circuit placement optimization, AI-driven routing algorithms, and performance analysis

🛠️ Tech Stack

Python, TensorFlow, Computer Vision, Optimization Algorithms, SPICE

🎯 Applications

Electronic Design Automation, Semiconductor Industry, Chip Design

📅 Coming Soon 🔄 In Progress
Weather App

Weather App

A native iOS weather application built with Swift, featuring real-time weather data integration and a clean, intuitive user interface following Apple's design guidelines.

GitHub
Dentistry Website

Dentistry Website

A professional dental clinic website featuring appointment booking, service details, and integrated Google Maps. Clean design with focus on user experience.

GitHub
Sports Scheduling App

Sports Scheduling App

A comprehensive sports management platform for planning and organizing league activities with scheduling, notifications, and team management features.

GitHub
Darkness Defenders

Darkness Defenders

A tower-defense game developed in Unity where players defend their castle from invading forces. Features multiple enemy types, strategic tower placement, and progressively challenging gameplay mechanics.

GitHub

Let's Work Together

Open to internships, research opportunities, and freelance projects

Email Me Directly

For internships, research opportunities, project collaborations, and academic partnerships

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Connect on LinkedIn

Professional networking and academic connections

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GitHub icon

View My GitHub

Browse code samples, projects, and open‐source contributions

View on GitHub

Let's Connect

Open to discussing new opportunities and collaborations

Get In Touch Download Resume