Experience
TranscribeGlass
Software Engineering Intern
Developed and maintained an iOS application of a wearable automatic speech recognition device for hearing loss.
Key Achievements:
- Built iOS app using Objective-C and Swift, achieving 20% increase in performance efficiency
- Integrated Firebase services, resulting in 35% faster data processing
- Optimized data pipelines with gRPC and Protobuf, reducing ML model training time by 25%
SwiftObjective-CFirebasegRPCProtobufiOS Development
CITRIS & Banatao Institute
Data Scientist Intern
Led AI research initiative for improving pancreatic cancer detection while managing a team of 10 members.
Key Achievements:
- Trained hierarchical shrinkage tree algorithms with 15% improved accuracy
- Built comprehensive dataset of 100,000+ pancreatic cancer patients
- Created data visualizations using matplotlib, seaborn, and Tableau for stakeholders
Pythonscikit-learnMatplotlibSeabornTableauDeep Learning
Just As Special (JAS)
Data Analyst Intern
Leveraged AI and NLP technologies to analyze foster care organization data.
Key Achievements:
- Transcribed 50+ interview podcasts using Google Cloud Speech-to-Text
- Implemented NLP analysis using TextBlob and NLTK for data structuring
- Presented data-driven whitepaper at Academic Data Science Alliance conference
Google CloudTextBlobNLTKpandasSpaCyData Analysis
National Academy of Taiwan
Machine Learning Intern
Developed emotion recognition and persona inference models using advanced ML techniques.
Key Achievements:
- Built models using RoBERTa and XLM-RoBERTa for feature extraction
- Optimized architectures with GRU, RNN, and LSTMs
- Enhanced emotion recognition accuracy by 5% using TensorFlow and Keras
PythonTensorFlowPyTorchHugging FaceBERTCOMET