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# Hey there!

Nice to meet you! I'm Jun, and I'm a senior double majoring in CS and Econ with a minor in Creative Writing. My CS interests include AI alignment, graph ML, algorithm design, cryptography, and LLM prompt engineering. Outside of CS, I'm also interested in financial theory, contemporary poetry, photography, urban planning, and environmental activism. You can reach me at [[email protected]](mailto:[email protected]).

## Experience & Projects

### NLP/LLMs

_Internship Project for Startup_

- Built a pipeline for automated quality assurance on customer service calls.
- Used LLM and ASR models for audio transcription, sentiment analysis, and question answering.
- Designed a customer-facing frontend interface using React.

### NLP/LLMs

_Internship Project for Singapore Government_

- Fine-tuned BERT to identify innovative startups and businesses using publicly-available financial data, corporate communications, and social media presence.
- Built an LSTM autoencoder for efficient and cost-effective sentiment analysis on large-scale (>10 TB) textual data.

### Computer Vision

_Final Project for CS 231N_

- Built and fine-tuned a multimodal ensemble model incorporating LLaVA and Llama 3 to identify the spread of gentrification in urban neighborhoods based on Instagram posts.
- Fine-tuned ResNet for classification of urban spaces into different land use categories.

### Frontend

_Final Project for CS 147L_

- Designed and built an iPhone app using JavaScript and React Native that recommends places to eat on campus based on dietary restrictions, preferences, proximity, opening hours, and budget.
- Wrote a web scraper to collate menu information and opening hours of dining halls from the RD&E website.

### Theory

_Research Project under Prof. Amin Saberi (MS&E)_

- Proved the PSPACE-hardness of online stochastic bipartite matching.

## Technical skills

- Programming Languages: Python, C, C++, JavaScript/TypeScript, SQL.
- Machine Learning: PyTorch, TensorFlow, PyG.
- Data Analytics: STATA, R, Matplotlib, NumPy, Pandas.