Guntas Toor

About

Hi, I’m Guntas. I'm a Computer Engineering student at Queen’s University in Kingston. I’m in a five-year program that includes a PEY term, and I expect to graduate in 2027/2028 depending on Co-Op terms.

I am currently working as a Software Engineering Intern at Flipp and I am also doing ML research on the side. Technically, I’m most interested in software development, systems-level infrastructure, artificial intelligence, and quantitative finance.

Beyond academics, I enjoy traveling, going to the gym, exploring new foods, and playing chess. I use this website to document my learning and lifestyle and showcase projects as I grow as an engineer.

Skills

• Languages: Python, Java, Scala, SQL, JavaScript, C, C++
• Web & APIs: React, FastAPI, Flask, REST, SQLAlchemy
• Data Platforms: Databricks, Apache Spark, Airflow (MWAA), ETL/ELT, PostgreSQL
• Cloud & DevOps: AWS (EKS, EC2, S3, IAM), Docker, Kubernetes, CI/CD, Git
• ML & Data Science: PyTorch, scikit-learn, NumPy, Pandas, NLP, LLM's, RL
• Observability: Datadog, Amazon CloudWatch
• Developer Tools: Git/GitHub, VS Code, IntelliJ, PyCharm, Jupyter, Arduino, RaspberryPi, Office 365

Experience

• 
  September 2025 — Present

  Applied ML Researcher at Algoverse

  Working on a research paper focused on Reinforcement Learning
• 
  May 2025 — April 2026

  Software Engineering Intern at Flipp

  Working as a software developer for 12 months. Shipped features and pipelines across the backend. Part of the data capabilities team.
• 
  May 2025 — Present

  Software Developer (Part Time) at Optimize Everything

  Collaborated with founding engineers to ship schema updates and build a fullstack app.
• 
  Sep 2023 — Apr 2025

  Machine Learning Researcher at Queen's University AI Institute

  Researched the application of LSTM models in financial engineering and presented at the Canadian Undergraduate Conference on Artificial Intelligence.
• 
  Sep 2023 — Dec 2025

  Embedded Systems Engineer at Queen's University Hyperloop Design Team

  Analyzed and managed the thermal sensors of various electronics in the hyperloop chassis and optimized them using C++ and Raspberry Pi

Projects

• ShopPay 2025 · Python · SQL · AWS

  Collaborated on a hackathon web app that lets users input Amazon product links and recommends similar items from local businesses. Leveraged Amazon Comprehend for text analysis, scikit-learn for similarity, and SQL for product storage.

• Movement Classification App 2025 · Python · Scikit-learn · NumPy

  Created a real-time movement classification system that distinguishes walking vs. jumping with ~98% accuracy on 300k+ samples using a Logistic Regression model. Delivered both a desktop client (Tkinter + Matplotlib) and a web app (FastAPI backend with Tailwind + Chart.js) with live PhyPhox sensor integration via Selenium for real-time streaming and classification.

• Security System 2025 · C++ · NodeJS · HTML/CSS

  Developed an RFID-based door access system with embedded C++ for tag detection and access control, paired with a Node.js backend and web dashboard. Designed the system with a clear separation between hardware logic, API services, and user interface for reliable and extensible access management.

• COVID-19 Mutation Region Classifier 2025 · Python · Matplotlib · Seaborn

  Built a machine learning model to predict the geographical origin of COVID-19 mutations using logistic regression. Implemented genomic feature engineering, data balancing, and model evaluation to achieve strong classification accuracy across Asia, North America, and Oceania.

• Social Media Platform 2024 · C · Data Structures & Algorithms

  Designed and implemented a social media platform from scratch using C. Developed efficient data structures for user profiles, friendships, and posts, plus messaging and feed systems. Explored trade-offs of linked lists, trees, hash tables, and queues to ensure scalable performance.

Travel & Food

Contact

• Email: guntastoor@gmail.com
• GitHub: github.com/Guntas07
• LinkedIn: linkedin.com/in/guntastoor