Yifan (Tony) Ju

Computer Science Specialist Student
University of Toronto Scarborough

鞠逸凡 (Yifan Ju) — Born and raised in Shanghai, China.

I'm passionate about well-structured, logically elegant, and abstract systems. I am particularly fascinated by robotics and exploring how intelligent systems can interact with the physical world. While I'm still discovering my exact career path, I'm driven by the desire to build systems that think rigorously and create real-world impact.

"Simple is good, rules make perfect."

CV Transcript

Projects

RemedaAI / Polaris

Worked on the backend of RemedaAI's clinical platform. Built an LLM-based Clinical Extraction Pipeline that turns encounter transcripts and SOAP notes into structured clinical data, with a background job queue for extraction tasks. Developed Transcript Management APIs that work with both OpenMRS and FHIR-based EHR systems, including authorization, patient consent, and audit logging. Investigated the MIMIC-IV data ingestion pipeline and fixed metadata synchronization and large-scale SQLite cleanup problems.

Python FastAPI OpenMRS FHIR LLM MIMIC-IV EMR Redis Pytest
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RemedaAI / Ego

Worked on RemedaAI's local-first digital health record app, where patients can keep and manage their health information on their own device. Helped bring the existing React and TypeScript web app to Android and iOS using Capacitor. Implemented Android system navigation and tested core app features across both mobile platforms.

React TypeScript Capacitor Android iOS Vite Mobile
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MyMonitoringTool

A Linux system monitoring tool written in C that displays real-time memory usage, CPU usage, CPU core count, and maximum frequency. It reads system data from /proc and /sys filesystems, uses pipes and forked child processes for concurrent data collection. Features signal handling for Ctrl-C/Ctrl-Z, customizable command-line arguments for sample count, interval, and monitoring components.

C Linux fork pipe signal handling /proc filesystem System Monitoring
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Toronto Bike Demand Prediction

Led a team-based project on predicting station-level hourly bike demand using Toronto Bike Share data (2021-2024). Implemented data preprocessing and feature engineering pipeline in Python with temporal and lag-based features. Built a Linear Regression baseline model and conducted model evaluation. Coordinated task allocation and contributed to report writing.

Python Pandas NumPy scikit-learn Matplotlib Machine Learning Git
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Personal Latex Template

A personal customizable LaTeX writing template. Supports flexible customization of cover page, title page, and header according to your needs. Features integrated table of contents functionality for easy navigation and organization of sections and subsections.

LaTeX
View on GitHub

Skills

Programming Languages

Python, C, C++, Java, JavaScript, TypeScript, Haskell, Racket, Prolog, MIPS Assembly, Shell Script

Web & Mobile Development

FastAPI, REST APIs, HTTP, React, Vue.js, Vite, OATPP, Capacitor, React Native

AI, ML & Data

PyTorch, Pandas, NumPy, Matplotlib, Plotly, Machine Learning, Deep Learning, Transformers, Model Training & Evaluation, Data Analysis, LLM/AI API Integration

Healthcare Systems, Standards & Data

EMR Systems, OpenMRS, FHIR R4, MIMIC-IV

Databases

MySQL, SQLite, Redis

Operating Systems

Linux, Android, iOS

Developer Tools

Git, GitHub, CMake, Makefile, VS Code, Remote SSH, JIRA, Pytest, Android Studio, Xcode, MySQL Workbench

Writing & Documentation

LaTeX, Markdown

Research Interests

Robotics Systems Programming Intelligent Systems Software Engineering

Hobbies

Violin
Basketball
Singing
Cycling
Table Tennis
Cooking
Swimming

Get in Touch

Feel free to reach out for opportunities, collaborations, or just to chat.

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