Index

Work

Health ML first, then model-serving infrastructure at AWS, then agent products.

Apr – Sep 2026

Artemis Software Works

Machine Learning Engineer

Built agent memory and meeting-briefing features for Surfboard; cut an agent's operating cost 16.6%

Built agent features for Surfboard, the company's product, end to end: a memory system that learns from a user's edits, an AI meeting-briefing feature, and its first onboarding flow.

Designed and built an implicit user-memory system that learns preferences from document edits and corrections, using retrieval, iterative revision, and decay-based scoring.
Owned an AI meeting-briefing feature end to end: data model, agent tools, APIs, UI, and eval suite. Built fault-tolerant server-side A/B testing infrastructure, and cut an agent's operating cost by 16.6% by removing redundant tool calls.
Found onboarding friction through PostHog funnel analysis and session replays, then designed and shipped the company's first onboarding flow, using ML-powered workflow recommendations to speed up activation.

Sep 2025 – Apr 2026

Amazon Web Services

Software Development Engineer, AWS Bedrock

Worked on the infrastructure serving Anthropic models; helped cut deploy time and weekly Sev-2 pages by 50%

Worked on the Kubernetes-based infrastructure that serves Anthropic's models on Bedrock, covering safe rollouts, faster deployments, and better monitoring.

Built a cross-model, cross-region metrics dashboard for availability, error rates, and inference latency, and fixed alarm ownership and monitoring, helping the team cut weekly Sev-2 pages by 50%.
Developed Java services and updated EKS manifests for the Kubernetes-based hosting of Anthropic's foundation models, rolling changes out safely across model variants and regions.
Deployed model updates with Anthropic engineers, led customer investigations, and helped cut deployment time by 50% through parallelized deployments and enforced deployment ordering.

Jun – Sep 2024

Amazon Web Services

Software Development Engineering Intern

Automated Bedrock Agents deployment into customer accounts for Amazon FinSpace

Built a system that automatically deploys Bedrock Agents into customer accounts, so Amazon FinSpace users can query financial data in plain language.

Led the build: designed the deployment API, a Lambda function for DynamoDB stream events, and a Step Functions workflow that deploys CloudFormation stacks.
Packaged the agent's infrastructure as a CDK construct that brought in other interns' code, reached 88% test coverage, and guards against the confused deputy problem.

Jun – Sep 2023

Inference Analytics

Software Engineering Intern

Radiology-report language models; patient-scheduling chatbot for UChicago Medicine

Researched language models for radiology reports and built a patient-scheduling chatbot for UChicago Medicine.

Led research pairing BERT-based encoders for understanding and structuring radiology reports with LLMs for report generation.
Built a patient-scheduling chatbot for UChicago Medicine with FastAPI, LangChain, and real-time streaming, then rebuilt its production front end and demoed it to clients.

Jul 2022 – Apr 2023

Stanford University

Undergraduate Researcher, Medical Imaging

Predicted fractures and cardiovascular events from CT scans and health records

Trained models that predict osteoporotic fractures and cardiovascular events from automatically extracted CT biomarkers and health records.

Implemented XGBoost and LightGBM models on tabular electronic health records and CT imaging data to predict osteoporotic fractures and cardiovascular events.
Worked with biomarkers extracted automatically from CT scans, combined with patient records.

Education

Stanford University · Apr 2024 – Mar 2027 (expected)

MS, Computer Science

Took a year off after my BS to work full time at AWS and Artemis, then came back to finish.

Mining Massive Datasets, Cloud Computing, Computational Biology Algorithms, Agentic AI

Stanford University · Sep 2021 – Jun 2025

BS, Computer Science (AI track)

Machine Learning, NLP with Deep Learning, Deep Learning for Computer Vision, Operating Systems, Applied Matrix Theory, Biomedical Data Science

Toolbox

Python, Java, TypeScript, SQL, C++, Swift · PyTorch, XGBoost, LightGBM, LangChain · FastAPI, Django, React, Next.js, React Native · AWS (Bedrock, EKS, Lambda, Step Functions, DynamoDB, CDK), Kubernetes · LLM agents and evals, A/B testing