Hao-chen Yang
Boston,MA
Overview
4
4
years of professional experience
Work History
AI Engineer & Data Analyst
Studdy.ai
07.2023 - 12.2023
- GPT-Integrated Math Solver Enhancement
- Automated Math Problem Evaluation and Grading
- Fine-Tuning Llama-2 models to improve the performance on math problems with Hugging Face.
Computer Vision Researcher
Harvard John A. Paulson School of Engineering and Applied Sciences
09.2019 - 08.2023
- Reduced neural network sizes by an order of magnitude without losing accuracy by applying the DDPG and the nearest neighborhood method in the image classification task
- Worked with the image calculator task, a dynamic image storage format that adapts to the given AI task, to improve the inference time by 14.2x and reduce the storage size of images by 8.2x.
Software Engineer Intern in Graph Retrieval
Instagram
05.2022 - 08.2022
- Developed and deployed machine learning models into production to enhance Recommendation and Notification System for churn users
- Implemented DSSM models based on collected user features and item features
- Created data pipelines to generate new data, used phone contact data to derive new predictive features and further refined model efficacy through feature selection methodologies and A/B test.
Data Scientist
AutoFire Marketing Company
05.2020 - 05.2021
- Conducted thorough exploratory data analysis to identify more than 50 attributes and variables for building robust models.
- Implemented a propagation model by building XGBoost models to predict target users and potential spread patterns of online ads, based on data collected over the Waterloo Region
- Monitored and verified data pipelines, investigated and reported issue for Apache Hadoop (Hive) and MySQL.
Education
Master of Science in Computer Science -
Harvard University
Cambridge, MA05.2023
Bachelor of Math (CS/Pure Mathematics/Combinatorial-Optimization) -
University of Waterloo
Waterloo, Ontario12.2020
Skills
- Python, C, Go, Java, TypeScript , SQL, PyTorch, Nextjs, Linux, Azure, AWS, Google Cloud Platform
projects
Neural Network Ensembles and Visualization
Investigated optimal parameter usage in CNN by comparing single and ensemble networks across diverse architectures and datasets.
Contributed to the paper More or less: when and how to build convocational neural network ensembles? accepted at ICLR 2021.
Developed an interactive web application and manage the database to effectively visualize results.
Accurate Hate Speech Detection
Utilized the BERT and transfer learning to perform hate speech detection on twitter in languages with fewer data such as French and Arabic.
Patent Relation Recognition (Project for Harvard Law School)
With the help of LLM, building a patents graph to understand the relationship between various patents and finding the potential related patents for a given patent proposal.
Timeline
AI Engineer & Data Analyst
Studdy.ai
07.2023 - 12.2023
Software Engineer Intern in Graph Retrieval
Instagram
05.2022 - 08.2022
Data Scientist
AutoFire Marketing Company
05.2020 - 05.2021
Computer Vision Researcher
Harvard John A. Paulson School of Engineering and Applied Sciences
09.2019 - 08.2023
Master of Science in Computer Science -
Harvard University
Bachelor of Math (CS/Pure Mathematics/Combinatorial-Optimization) -
University of Waterloo
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