Karolina Tchilinguirova
Karolina Tchilinguirova
Learner - She / Her
(1)
31
Location
Toronto, Ontario, Canada
Bio

Hi, I'm Karolinaβ€”a former geology graduate turned computer science student and researcher, passionate about data-driven insights and software development. I'm a 4th-year CS student with 2 years of research experience and 1 year of web development experience.

See my work at: https://karolina.codes

I began research after my first year, completing two summer research internships and continuing part-time as a research assistant. I have worked under two supervisors on separate projects:

🌐 AI Applications in Global Navigation Satellite Systems – Explored machine learning techniques to improve smartphone positioning accuracy. I found that KNN achieved 92% accuracy in classifying positioning data. My research laid the foundation for a conference publication, which uses Random Forest models to classify GNSS signals into line-of-sight (LOS) and non-line-of-sight (NLOS), improving precise point positioning (PPP) accuracy. https://www.ion.org/publications/abstract.cfm?articleID=19761

πŸ‘§πŸ» Citation Biases in Computing Literature – Conducted a large-scale analysis of 90,000+ papers from the top 100 software engineering journals, uncovering gender-based citation disparities. See the pre-print here: https://arxiv.org/abs/2410.02801
To address this, I am leading the development of CiteFairly, a web tool that analyzes citation biases and suggests research to diversify references. CiteFairly is built with Node.js, Express, React, Firebase, and the Semantic Scholar API to provide actionable insights for researchers.

Beyond research, I have developed multiple full-stack applications, including:

🎧 DJ WAMP Merch Store – A full e-commerce platform with product filtering, cart/checkout, account management, and an admin panel.
🌱 Daily Planning App – A Google Calendar-integrated tool that generates personalized daily reports.
🀝Mentor-Mentee App – Currently working on a cloud-based platform using microservices architecture on Azure, expanding my expertise in cloud technologies.

Technical Skills
⭐ Languages: Python, R, Java, SQL, JavaScript, TypeScript
⭐ Frameworks Libraries: Node.js, Express, Flask, React, TailwindCSS, Next.js, Three.js, Scikit-learn
⭐ Databases: Cloud: MongoDB (Atlas), Firebase, AWS S3, Google Cloud, Azure, PostgreSQL
⭐ Tools: Development: Linux, Git, GitHub, Figma

I am self-motivated, thrive on challenges, and continuously seek opportunities to learn and innovate.

Portals
Categories
Website development Software development Machine learning Artificial intelligence Data science

Skills

Application programming interface (api) 1 Artificial intelligence 1 Front end design 1 Full stack development 1 Github 1 React.js (javascript library) 1 Restful api 1 User interface (ui) 1

Socials

Achievements

Latest feedback

Recent projects

Work experience

Research Assistant / Full Stack Developer
DARE! Lab at York University
September 2024 - Current

- Spearheading the development of CiteFairly, an online tool designed to analyze biases in research citations, generate citation diversity statements, and leverage AI to recommend research papers that address citation biases by promoting balanced referencing.
- Implementing a full-stack solution using Google Firebase, Node.js, React, JavaScript, and Tailwind CSS
- Integrating external APIs such as OpenAlex, Semantic Scholar and Gender-API to extract and classify reference data based on author demographics.
- Preparing a conference paper for the 2025 International Conference on Automated Software Engineering.

Citation Biases Researcher
DARE! Lab at York University
May 2024 - August 2024

- Research focus on detecting and mitigating citation biases in computing literature
- Analyzed 90,000 papers from top software engineering journals and identified a consistent trend in literature where women are under-cited and men are over-cited, with this disparity steadily increasing since 2009.
- Utilized Python and R to conduct analyses, stored data using MongoDB, leveraged external APIs including CrossRef and Gender-API to extract and classify reference data based on author demographics.
- Presented at the 2024 Lassonde Undergraduate Research Conference and the 2024 Canadian Celebration of Women in Computing Conference
- Open Source Repository: https://github.com/KarolinaTchiling/gender-citations-swe-public
- Preprint available on arXiv: https://arxiv.org/abs/2410.02801

Geospatial Machine Learning Researcher
GNSS Lab at York University
May 2023 - April 2024

- Research focus on exploring AI applications in Global Navigation Satellite Systems
- Utilized Python to conduct analyses and leveraged Machine-Learning package Scikit-learn to classify the quality of smartphone positioning data points to 92% accuracy.
- Presented an independent summer project at the 2023 Lassonde Undergraduate Research Conference. [Research Poster]: https://karolina.codes/figs/GnssPoster.pdf
- Collaborated with a post-doc and a PhD candidate to co-author a conference paper:
Improving Smartphone Positioning by Adapting Measurement Noise Covariance using Machine Learning Sept 2024 Anurag Raghuvanshi, Karolina Tchilinguirova, Soroush Sasani, Sunil Bisnath 10.33012/2024.19761 : https://www.ion.org/publications/abstract.cfm?articleID=19761

Education

Bachelor of Science, Computer Science
York University
September 2022 - December 2025
Bachelor of Science, Geological Sciences
Queen's University
September 2015 - December 2019

Personal projects

DJ WAMP's Merch Store
https://github.com/KarolinaTchiling/DJ-Wamp-merch-store

An online merch store for DJ WAMP with features like product filtering, cart management, checkout, account management, and an admin panel.

Roll Call
https://github.com/KarolinaTchiling/project-roll-call

A web application designed to streamline daily planning by automatically generating personalized daily reports based on a user's Google Calendar.