Education
Harvard Extension School — Master’s in Data Science (M.L.A.), expected May 2026 Coursework: Intro to Data Science (CS 109A/B), Deep Learning (E-89), Advanced Deep Learning (E-104), Computer Vision (E-25), Foundations of LLMs (E-222), Statistical Data Modeling (E-106), Data Structures (S-22)
Amherst College — B.A., Physics, 2014
Data Science Projects
See the Projects page for full write-ups.
Work Experience
OfficeSpace Software — Software Developer → Senior Software Developer (2016–2021) Built and scaled features for a hybrid-workplace SaaS platform (~700 enterprise clients, 2M users).
- Reduced idle frontend CPU load by 90% through systematic profiling
- Designed and built customer-facing RESTful APIs; maintained GCP and Azure infrastructure
- Rewrote backend from Java to Ruby/Rails and frontend from Flash to React/HTML5
Humble Bones Granola — Co-founder (2021–2023)
Northeast Regional Training Institute — Mentor & Volunteer (2021–present)
Skills
Languages: Python, R, SQL, JavaScript/ES6, Go, Rust, Java
Machine Learning: scikit-learn, regression, decision trees, random forests, gradient boosting, feature engineering, PCA, clustering, A/B testing, statistical modeling in R
Deep Learning: PyTorch, TensorFlow/Keras; CNNs, RNNs/LSTMs, Transformers, ViT, GNNs, GANs, Diffusion Models
LLMs & NLP: Hugging Face Transformers, fine-tuning (LoRA/QLoRA), RAG, prompt engineering; OpenAI and Gemini APIs
Computer Vision: YOLO, OpenCV, image segmentation, scene graph generation
Infrastructure: pandas, NumPy, Docker, GCP, Azure, MySQL, Redis, Git, Linux