Personal Portfolio

About

Hi! I'm Jeffrey and I study math / cs at Dartmouth. I'm currently an ML infra engineer at Amazon AIGC working on recommendation systems. On the side, I'm exploring mechanistic interpretability with Xuyuan Liu. I formerly researched LLM degredation scaling laws at Adaptional (YC S25) and was a gardener at Jacquemin Farms.

In my free time, I enjoy writing(check out my blogs!), running(17:29 5k many years ago), weightlifting, playing chamber violin and photography.

I live to increase the variance of my life. Be like the penguin.

Education

Dartmouth College

Dartmouth AI/ML club officer | Hosted Cursor, Anthropic, Simile AI, etc. speakers

Tsinghua University

Incoming abroad fall '26 (unless the right opportunity arises :D)

Experience

Amazon, AIGC

SDE Intern · Jun 2026 - Present

I just got here.

Adaptional (YC S25)

Machine Learning Engineer Intern · May 2025 - Nov 2025

Automation for underwriting. Worked directly with former xAI and Clipboard Health engineering leaders. I primarily optimized LLM API inference, researched benchmark scaling laws for tabular data, and hired a lot of data labelers.

Founders, Inc.

Machine Learning Engineer | Offseason Founder · Jun 2025 - Jul 2025

Modeled after GenBio's position paper on multilayered foundational models for the human body, 'Henry' simulates societal scale decisions from the scale of homes, neighborhoods, burroughs to the size of New York City. I left to work full-time for Adaptional halfway through the batch.

Olive Theory Lab

Co-Investigator · May 2023 - Present

Crisis lines suffer from long on-hold wait times. I research musical features that improve patience for people in states of crisis.

LISP Lab

Deep Learning Research Intern · Jan 2025 - May 2025

Used complex valued neural networks to model neural synchrony with Professor Chin.

Cognitive Systems Engineering Lab

Machine Learning Research Intern · May 2024 - Sep 2024

Applied explainable algorithms to breast cancer segmentation under Professor Krening.

Jacquemin Farms

Farming Intern · Mar 2024 - Jun 2024

I cultivated the Ohioan fields.

Projects

Project 01

Clinova

Full-stack · Multi-agent AI · 3D Visualization · AWS

Full-stack virtual clinical trial platform using a multi-agent AI pipeline to simulate, validate, and replicate randomized controlled trials with 3D visualization and OMOP CDM integration.

Project 02

SodaCan

Python · Gemini API · CLI

Terminal-first workbench using Gemini API for 10x faster data ingestion.

Project 03

IEX Crumbling Quote Signal Simulation

Python · Simulation · Agent-based

Agent-based sim modeling IEX CQS impact on market microstructure. Event-driven with Hawkes process.

Project 04

Tiny Search Engine

C · Make · Indexing · Querying

Full search engine in C with indexing, querying, and ranking.

Project 05

Occam's Razor Model on Game Theory

Python · Jupyter · ML

Cut a 62% win-rate AI in rps down to 20.6% over 107 games using Occam's Razor ML.

Research

Research 01

Classical Composer Prediction

Python · MIDI · Logistic Regression · Linear Regression

94%+ accuracy identifying Bach from MIDI using 10 musical features; 67.5% multi-class accuracy.

Research 02

ComplexNN (Private repo)

Python · PyTorch · Complex-valued NN · Signal Processing

Complex-valued neural networks for modeling neural synchrony in brain activity.

Research 03

Breast Cancer Classification

Python · Scikit-Learn · Random Forest · MLP · SVM

Ultrasound classification without ROI. Random Forest 78% accuracy, AUC 0.86 on 780 images.

Research 04

Running Injury Prediction

Python · PyTorch · RNN · LSTM · Optuna

RNN and LSTM models for predicting running injuries from ground reaction force data. RNN outperformed LSTM in accuracy, precision, and recall on 9k-point biomechanics sequences.