About Me

Hello! I'm Yongchen Qian. Currently mastering the intricacies of Software Engineering at Carnegie Mellon University's Silicon Valley campus, I hold a Bachelor of Science in Computer Science from Emory University. As a full-stack software engineer, I seamlessly blend the worlds of front-end and back-end development, and I'm keenly exploring internship and full-time opportunities to further sharpen my skills and contribute to innovative teams. When I'm not immersed in code or solving software challenges, you can find me on the soccer field or deep in the world of PC building, where precision and performance matter just as much. Looking forward to connecting and collaborating!

  • Languages
  • Developer Tools
    Unity Engine
  • Databases
  • Frameworks
  • 2023-Expected 2024
    Carnegie Mellon University
    Master of Software Engineering
  • 2019-2023
    Emory University
    Bachelor of Science in Computer Science

My Experiences

Teki Drive Inc

As a Program Manager at the startup project management platform Teki-Drive from Jun to Sep 2023, I led a team of three to launch a platform designed to automate coding tasks and streamline project management. We utilized Flask for the backend, crafted a dynamic frontend using JavaScript, HTML, and CSS, and integrated Firebase for consistent user data storage. Additionally, I oversaw the server's deployment on Google Cloud with Gunicorn and Nginx, ensuring secure SSL/TLS implementation.

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The Inclusive Brand Project

Collected approximately 900,000 media items from Instagram and Facebook. Utilized OpenCV, TensorFlow, and ImageAI to create datasets that analyze representation and biases from the top 100 brands over the past decade.

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MUG: a Multimodal Classification Dataset on Structured Tables with Textual and Visual Fields

Developed detailed datasets targeting the gaming industry for automated machine learning and multimodal classification. I produced ten benchmark result sets using single-modality models like GBM, MLP, RoBERTa, Electra, Vit, and SWIN, and multi-modality models with AutoGluon and AutoMM. A related paper has been submitted for review to EMNLP 2023.

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My Projects

Enhanced Learning & Instructional Technologies at Emory: Cheat Detection

Under the mentorship of Dr. Davide Fossati from Emory University between Jan to Jun 2022, I utilized OpenCV for live camera input analysis in Java and Python. This feature was integrated with QTest, Emory CS's testing system. I also crafted a Java program using the OpenCV library that identifies faces, notifying the user if no face is detected in the camera feed.

Big Data Mining and Analyzing Technologies

Under the guidance of Dr. Fan Zhang from MIT between Jul to Sep 2021, I gained expertise in Docker and its associated management tools, including Kubernetes and HELM. I deployed web applications, integrated with a MySQL database, to log IP addresses and access times using Kubernetes. Additionally, I familiarized myself with the Kubernetes management tool operator and its Operator Lifecycle Management.

2022 KDD Web Development

As part of a 5-member team for the 2022 KDD Web Development from Oct 2021 to Aug 2022, I played a crucial role in shaping the frontend design of the KDD 2022 website, utilizing JavaScript, HTML, and CSS.

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Integrated Poker Platform

Collaborated with a 7-member team to develop an online platform featuring a variety of poker and card games using Unity. The game supports both single-player and multiplayer modes. We incorporated a MySQL database on GCP to facilitate user registration, login, and manage inventories including emojis, backgrounds, cards, and music.

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US Housing Market Visualization

Leaded a 3-member team to visualize the US house price index from 1975-2022, including future projections, using only JavaScript, HTML, and CSS.

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US Housing Market Prediciton Using Machine Learning

House sale price prediction using machine learning algorithms: decision tree, linear regression, kNN, kMeans.

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