# Wei-Lun Hung

> SWE @ ClearStreet | MS CS @ NYU & Neuroinformatics Lab

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/weilunhung

Wei-Lun (Allen) Hung is a Software Engineer (SWE) at ClearStreet.

He holds a Master of Science degree in Computer Science from New York University (NYU).
And a Bachelor of Engineering degree in Computer Science and Information Engineering from National Taiwan Normal University (NTNU).

With a strong foundation in Artificial Intelligence and Deep Learning, his work and projects span Large Language Models (LLM), Computer Vision, and Time Series Classification/Forecasting.
Beyond these, he has broad research interests in areas tied to Artificial General Intelligence (AGI), including Brain-Computer Interfaces, Computational Neuroscience, Generative Models, and Neural Architecture Search.

In addition to his AI expertise, he has hands-on experience in full-stack web development—from backend and frontend engineering to server setup.
His main programming language is Python, complemented by proficiency in C/C++, JavaScript, PHP, and HTML.
More of his work can be found on his GitHub.

## Work Experience
### Software Engineer @ Clear Street
Jan 2025 – Present | New York, United States

### Software Engineer @ VantAI
Jan 2024 – Jan 2024 | New York, NY
• Developed a pipeline to automate the scraping, organization, and preprocessing of about 200,000 academic papers.
• Applied Llama 3.1 70B to classify gene-disease pairs from papers, achieving 80% accuracy and 95% near accuracy.
• Produced visualization software to compare performances of models, allowing rapid prompt adjustments and testing.

### Research Assistant @ New York University
Jan 2024 – Jan 2024 | Brooklyn, New York, United States
VIDA Center
• Implementing a pipeline to generate descriptions for multimodal datasets automatically with LLMs and VLMs.
• Working under the supervision of Prof. Juliana Freire and Ph.D. student Yu-Rong Liu.

### Computer Vision Engineer @ Power Creation D Co., Ltd.
Jan 2022 – Jan 2022 | Kaohsiung City, Taiwan
• Tailored a product inventory detection program to provide real-time shelf restocking alerts by designing a U-Net model architecture using TensorFlow, collecting and annotating marketplace photos for training data, model training, implementing detection logic, and deploying the program on in-store Raspberry Pi 3.
• Constructed a footfall detection program with PyTorch to track the number of people passing by each shelf by selecting the You Only Look Once version 4 (YOLOv4) model architecture, creating footfall calculation algorithms, and deploying the program on in-store Raspberry Pi 3.
• Revamping an outdated merchant-supplier fruit and vegetable ordering and delivery system.

### Research Assistant @ National Taiwan Normal University
Jan 2020 – Jan 2021 | Taipei City, Taiwan
Lab of Dr. Huei-Ling Chen
• Evaluated the relationship between stock price forecasts from hundreds of analysts and the actual performance of the Chinese stock market using financial metrics, employing Pandas and Numpy.
• Extracted stock price history and analysts’ predictions by crafting web crawlers with Selenium and Requests.

### Full-stack Developer @ DermAI Co., Ltd.
Jan 2020 – Jan 2020 | Taipei City, Taiwan
• Produced a data annotation website using Django that facilitated collaboration among physicians in annotating images for training deep learning models, encompassing website interface design, logic creation, database organization, and ensuring accurate data entry from physician annotations.
• Developed an online booking platform built on the Line bot framework. Responsibilities included developing the booking platform’s interface, implementing back-end functions, integrating with APIs, and resolving bugs.
• Developed the company’s official website, including interface implementation, setting up the website on an AWS server, and SEO keyword optimization.

### Full-stack Developer @ LingoTogether
Jan 2020 – Jan 2020 | Taipei City, Taiwan
• Established a platform for users to practice different languages and reach up to thousands of users.
• Implemented web interfaces and essential back-end features using React and Firebase, including integrating APIs and troubleshooting existing or newly identified issues.


## Education
### Master of Science - MS in Computer Science
New York University

### Bachelor of Engineering - BE in Computer Science and Information Engineering
National Taiwan Normal University


## Contact & Social
- LinkedIn: https://linkedin.com/in/aisu
- GitHub: https://github.com/aisu-programming

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Source: https://flows.cv/weilunhung
JSON Resume: https://flows.cv/weilunhung/resume.json
Last updated: 2026-04-13