π― Currently β’ π‘ About β’ π Education β’ πΌ Experience β’ π¬ Research β’ π οΈ Skills β’ π Projects
| π | Working on: AI agents for healthcare at Wellman Medical Group |
| π± | Learning: Advanced Computer Vision & Deep Learning architectures |
| π¬ | Ask me about: Computer Vision, React, Django, PyTorch, or teaching CS! |
| β‘ | Fun fact: I've mass analyzed 36,407 interaction events in one study and mass mentored 100+ students β I like big numbers! |
const ardalan = {
pronouns: "he" | "him",
location: "Saskatchewan, Canada π¨π¦",
currentRole: "Software Engineer @ Wellman Medical Group",
pursuing: "M.Sc. Computer Science β Applied Machine Learning",
researchFocus: "Computer Vision & Image Processing",
education: {
masters: "University of Saskatchewan (2025βPresent)",
bachelors: "B.Sc. Honours CS β 86% Average π"
},
dailyTools: ["Python", "TypeScript", "React", "PyTorch", "Django"],
achievements: {
studentsmentored: "100+",
interactionEventsAnalyzed: 36407, // yes, I counted
awardsWon: ["NSERC USRA", "TESL Bursary", "EAP Scholarship"]
},
currentlyExcitedAbout: "Teaching machines to see ποΈ",
lifePhilosophy: "Code, Coffee, Computer Vision, Repeat β"
};|
Sep 2025 β Present
|
University of Saskatchewan
|
A Study of SIFT-Assisted Image Annotation in Computer Vision
Ardalan Askarian, Dr. Mark Eramian
|
User Study |
Interaction Data |
Built With |
π Β View Research Details
| Aspect | Details |
|---|---|
| Platform | Django-based annotation system combining SIFT boxes with human oversight |
| Comparison | AI-assisted annotation vs. manual baseline |
| Key Finding | AI assistance increased annotation time by 71.6% without improving IoU or GTC quality metrics |
| Contribution | Distilled design lessons for productive human-AI collaboration in annotation systems |
| Output | Co-authored research poster on human-AI collaboration in annotation workflows |
Technologies: Β Django, Python, OpenCV, SIFT (Scale-Invariant Feature Transform), Image Segmentation
| Award | Year | Details |
|---|---|---|
| π Β NSERC USRA | 2025 | Undergraduate Student Research Award for Computer Vision research |
| π Β TESL Saskatchewan Bursary | 2022 | One of two recipients province-wide |
| π Β EAP Scholarship | 2020 | $2,500 as highest achiever in English for Academic Purposes |
|
Smartwatch Data Platform Full-stack platform for large-scale smartwatch data processing and analytics with ML-enhanced parsing. |
Computer Vision Research AI-assisted image annotation system combining Scale-Invariant Feature Transform with human oversight. |
| Computer Vision | Machine Learning | Full-Stack Dev | Data Science |
| Image Processing | Applied ML | React & Django | Analytics |
| SIFT & Segmentation | Deep Learning | System Integration | Visualization |
I'm always excited to collaborate on AI/ML research, computer vision projects, and innovative software solutions!
| π¬ Research Collaborations | πΌ Industry Projects | π Academic Partnerships | π Open Source |
|---|---|---|---|
| Computer Vision | Software Development | Graduate Research | Contributions |



