Stack Society HUD
A PokerNow analytics platform for exploring sessions, replaying hands, and understanding player tendencies.
- Next.js
- React
- TypeScript
- Node.js
- Python
- PostgreSQL
- Prisma
- Tailwind CSS
- Docker
Featured Projects
DISTILBERT / SST-2
Prompt Compression
Keep the query. Compress the context.
01 / INPUTExamples + query
02 / COMPRESSIDF selection
03 / CLASSIFYDistilBERTSentiment prediction
| Method | Mean tokens | Accuracy | ms / example |
|---|---|---|---|
| Full prompt | 136.16 | 90.44 ± 0.48% | 0.351 |
| IDF · 25% demo budget | 97.16 | 90.90 ± 0.43% | 0.179 |
43 configurations · 129 fits · 3 seeds
Accuracy: mean ± seed SD. Warm GPU pipeline timings, batch 16.
Small accuracy differences do not establish consistent superiority.
Prompt Compression
An NLP study exploring how shorter prompts affect text classification accuracy, input length, and inference cost.
- Python
- PyTorch
- Transformers
- DistilBERT
- scikit-learn
- pandas
- NumPy
- IDF Compression
- Learned Compression
Experience & Education
Experience
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Most recent role
A short summary of your responsibilities, what you built, and the impact of your work will go here.
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Previous role
Highlights from an earlier internship, job, or research role will go here.
Education
- Pursuing
Graduate studies in Machine Learning
Master’s studies focused on machine learning.
- Graduated
BS in Computer Science
Concentrations in AI and People/Design.
Tools I build with
Python
TypeScript
React
Next.js
PyTorch
scikit-learn
Docker
PostgreSQL
Have something in mind?
Have an opportunity, a project idea, or just want to say hi? I’d love to hear from you.