Ziqi Wang

Ziqi Wang

Aalto University, MSc in Computer Science

🚶🏻 About Me

I am a 2nd master’s student in Computer Science at Aalto University. I do full stack development, UI design, software architecture design and data anlysis.

My interests land on the intersection of cloud computing, software infrastructure and AI.

In my spare time, I actively contribute to open-source projects to keep myself updated with newly emerged technologies and build useful tools to elevate sustainability and improve efficiency. I am a quick learner and good at using online resources (official documentations, YouTube videos) to expand my expertise. My technical interests lie in developing embedded software/network architectures. Additionally, I enjoy running, hiking, playing basketball and playing video games to relax during holidays, and weekends.

🧑🏻‍🎓 Work Experience

Nokia

Thesis worker, will start from 2nd Jan. 2025

  • TO BE DETERMINED

CS-IT, Aalto University

Web developer intern, Oct. 2024 - Dec. 2024, 3 months

  • Participating in the full-stack development and maintenance of the existing open-source software A+, which is extensively used by students and teachers.
  • Implementing extensive e2e tests with Playwright and unit tests with Pytest.
  • Deployed containerized applications with k8s, ensuring consistent and scalable deployment across different environments.
  • Tech Stack: Django, Kubernetes, PostgreSQL, Docker, Jenkin, NGINX, Selenium, Playwright.

Cupshe

Android developer, 2023

What I have did?

  • Spearheaded the design, development, and deployment of the Cupshe Android application using React Native, resulting in a 25% increase in mobile user engagement within the first three months post-launch.
  • Collaborated in the agile development and ongoing optimization of the Cupshe RESTful/JSON API, enhancing system efficiency and facilitating seamless third-party integrations.
  • Leveraged a diverse tech stack including React Native, SQL, and Java, employing Git for version control, to contribute to the agile development of scalable and robust mobile and web applications.

🧑🏻‍💻 Projects

GApe
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GApe (Get A Page Easily)

Ziqi Wang, Ali

Sep. 2024 - Present

What I did?

  • Implemented GApe, an interactive design tool for creating one-page content built around the concept of ‘dragging and customising’, meaning users are encouraged to apply the platform in an exploratory manner by placing every piece of widgets on a canvas freely. Demo
  • Integrated and debugged the core functionality: Drag and Drop!
  • Tech used: Typescript, PostgreSQL, Next.Js, GitHub Action, Tailwind CSS

Further Goals

  • Front page refactoring
  • Integrating client app
eyedentity
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eyedentity

Ziqi Wang, Ali, Sihang Yu

Nov. 2024 - Present

What I did?

Further Goals

  • UI enhancement
  • Model-agnostic integration
qrsuite
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qrsuite

Ziqi Wang

What I did?

  • Implemented a smooth and interactive restaurant management system and its corresponding user-end application, which allow seamless interaction between restaurants and customers.
  • Tech used: Flutter, Dart, Firebase, Google Cloud Platform, Supabase, PostgreSQL, Stripe (Payment).

Further Goals

  • Migrate from Firebase to open source Supabase.
Big Data Platform(Ongoing)
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Big Data Analysis Platform

Ziqi Wang, Hong-Linh Truong(supervisor)

What I did?

  • Designed a comprehensive big data platform, integrating advanced components for data ingestion, real-time analysis, and secure storage, to support data-driven decision-making for multiple clients, handling over 1TB till now.
  • Developed a dynamic, multi-tenant user interface using Express.js, enabling intuitive interaction with complex big data workflows.
  • Tech Stack: Python, Cassandra, MQTT, Kafka, Google Cloud Platform, Express.js, etc.

Further Goals

  • Simulate near real-time data ingestion.
  • Deal with encrypted data and security problems.
Junction 2023
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Interactive Particles Simulation based on WebGPU (JUNCTION 2023 Top5 Project)

Ziqi Wang, Sihang Yu

Deployment

What I did?

  • Engineered a interactive web-based interactive particles simulation prototype, integrating diverse mathematical models to support extensive benchmarking testing.
  • Optimized SPA performance by over 150%, leveraging WebGPU for computational offloading from CPU to GPU, resulting in significantly reduced processing times and enhanced user experience..
  • 🏆 Won 3rd place in partner challenge (provided by Veikkaus Oy) among 30 teams, top 5 place among 200+ projects.
  • Tech stack: Typescript, Node.js, Vite, WebGPU, etc.
Machine Learning Project
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Comparison of Different Machine Learning Algorithms in the Prediction of Heart Disease (5.0/5.0)

Ziqi Wang, Nima Fakhrayi

Essay

What I have did?

  • Analyzed two extensive datasets from Kaggle using advanced classification algorithms (e.g., SVM, RandomForest, and Logistic Regression) to accurately predict heart attack risks, enhancing predictive accuracy by 15%. algorithms in terms of predicting heart attack diseases.
  • Investigated the impact of dataset balance and data point distribution, identifying critical biases that improved model reliability by 20% when adjusted for in preprocessing.
  • Leveraged Python, pandas for data manipulation, matplotlib for data visualization, and LaTex for presenting research findings, contributing to a comprehensive analysis report.
  • Tech Stack: Python, pandas, matplotlib, LaTex, etc.
Machine Learning Project
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Traffic Signs Recognition Based on Convolutional Neural Networks

Ziqi Wang, Hang Cheng(Supervisor from NJIT)

What I did?

  • Strategically augmented the GTSRB dataset using affine transformations on selected images, expanding the training set by 30% and optimizing category distribution, which significantly improved model training efficiency and diversity.
  • Engineered and fine-tuned a multi-scaled LeNet-based neural network, achieving an exceptional 99.78% accuracy rate in static image recognition, setting a new benchmark for model performance in the field.
  • Tech stack: Python, Tensorflow, Jupyter Notebook, etc.

📖 Educations

  • 2023.09 - 2025.06 (now), Aalto University, MSc in Computer Science (4.91/5.00)
  • 2019.09 - 2023.06, University of Oulu, BSc in Software Engineering (4.45/5.00)

🎖 Honors and Awards

  • 2023.11 Top 5 Finalist Team & 3rd place in the partner challenge offered by Veikkaus Oy in JUNCTION 2023
  • 2023.03 Finland Scholarship for the Master’s Programme in Computer Science at Aalto University among 800+ applcants
  • 2022.12 Dean’s Honor List of Academic Year by NJIT 2021-2022