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dylan@satow : ~/portfolio/experience

$ ls -al experience/work/

Software Development Engineer
Amazon Web Services · MSK (Apache Kafka) · August 2026 – Present

Engineering on Amazon MSK, AWS's fully-managed Apache Kafka service — distributed streaming infrastructure run at scale.

SDE Intern
Amazon Web Services · MSK-Connect · Summer 2025

Shipped customer-facing automated limit-increase approvals and a daily Lambda that purges non-compliant log groups across every account in the service.

Data Science Intern
Bonafide / Pharmavite · Summer 2022

Built an end-to-end ML pipeline forecasting customer LTV and CAC, with Snowflake tasks pushing results into a Looker dashboard for stakeholders.

$ ls -al experience/research/

Non-Euclidean Representation Learning
Pe'er Lab @ Columbia · Jan 2025 – Aug 2025

Core contributor to Manify, a non-Euclidean representation learning library (75+ stars). Implemented every curvature-estimation method with full tests and docs; now working on a follow-up characterizing the distribution of delta-hyperbolicity.

Database / Applied Causal Inference
Wu Lab @ Columbia · Oct 2024 – May 2025

Implemented GPU-accelerated kNN mutual-information estimation over relational joins without materialization, for SUNA — a scalable causal confounder-discovery system.

Unsupervised Learning Theory / Agentic Data Analysis
Verma Lab @ Columbia · Jan 2024 – Jan 2025

Explored dimensionality-reduction theory, then pivoted to agentic data analysis and optimized deployment of unsupervised algorithms in a web app.

Prior-Fitted Networks for EHR Data
ReAIM Lab @ Columbia · May 2024 – Oct 2025

Adapted Prior-Fitted Networks (a transformer architecture for few-shot Bayesian inference) to EHR data by reworking the synthetic data-generation process.

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