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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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jonkuqi/README.md

Hi, I'm Jon

MSc Computer Science student at EPFL, specializing in AI & Data Science.

I work across AI systems, data-intensive software, security, and web engineering.

LinkedIn CV

Currently working on

I’m currently doing research at EPFL’s SaCS lab on adversarial robustness in decentralized learning, and working with the EPFL Spacecraft Team on flight software integration and end-to-end simulation for the CHESS satellite mission. I’m also building a legal AI assistant, transforming 7,000+ unclean scanned legal PDFs into structured, searchable knowledge for retrieval and question answering.

Previously, I interned as a software engineer intern at EPFL’s C4DT on D-Voting, a distributed privacy-preserving voting system, and as a data engineer intern at Raiffeisen Tech.

Languages and Tools

Python C Java C++ JavaScript TypeScript SQL React Next.js Node.js PostgreSQL

PyTorch Scikit-learn Pandas Apache Spark Spring Boot Apache Kafka

Linux Docker Git

GitHub Stats

GitHub statistics Most used languages

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  1. robust-journey-planner robust-journey-planner Public

    Confidence-aware public transport routing across Switzerland using real SBB data, Profile CSA, and learned delay distributions.

    Jupyter Notebook 1

  2. Predicting_Heart_Disease_Neural_Networks Predicting_Heart_Disease_Neural_Networks Public

    The projects includes cleaning dataset, feature engineering, feature selection and prediction of Heart Decease using self-written (no libraries) Neural Networks and Logistic Regression. Provides de…

    Jupyter Notebook

  3. Data_Analysis_YouNiverse Data_Analysis_YouNiverse Public

    Forked from epfl-ada/ada-2025-project-in5ight

    Data analysis and data science project exploring large-scale YouTube metadata from the YouNiverse dataset. The work includes data preprocessing, exploratory analysis, and visualization. Insights ar…

    Jupyter Notebook

  4. Recommender_System_with_Collaborative_Filtering_Gr16 Recommender_System_with_Collaborative_Filtering_Gr16 Public

    Using Machine Learning Principles such as Cosine Similarity and Pearson Correlation, we build a Recommender System that factors item-based and user-based respectively .

    Python 1 3

  5. Human_Resource_Management_System_Back Human_Resource_Management_System_Back Public

    Java 3 2

  6. 16bit-CPU 16bit-CPU Public

    Fully functional 16-bit CPU in verilog that supports elementary operations.

    Verilog