¶Timeline

The long view, by date.

Every entry the homepage Bento draws from — projects, roles, races, coursework, milestones — sorted newest to oldest.

16 entries · Summer 2022 → May 2026

May 2026

Sweat · trophy day

Tioga Road, before the cars.

Yosemite, opening day of the road over Tioga Pass — the few-day window every spring after Caltrans plows it clear and before it reopens to traffic. 90 miles, 7,680 feet of climbing, a stranger at sunrise who became a friend by the descent.

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Apr 2026

Project · shipped

HardwareComputer visionPythonFastAPI

doorpi — a door that knows my face and waits for a peace sign

A Raspberry Pi, an ESP32, and a face-recognition stack walked into my building's vestibule. The hard parts weren't the computer vision — they were V4L2 quirks, bandwidth budgets on a Pi Zero's 2.4 GHz radio, and an auto-exposure controller that didn't punish backlit visitors.

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Fall 2025 →

Project · ongoing

MarketplaceNext.jsStripe ConnectPostgresAI

RodSmith — knowledge-first marketplace for custom fishing rods

Started in the fall of 2025 with customer discovery — charter captains, anglers, and builders — and grew into a platform. Custom rod builders are artisans without a homepage; RodSmith turns specifications into shared language, reputation into transparency, and commerce into something that happens after trust. Contract-first architecture, Stripe Connect, an AI catalog-extraction pipeline that turns PDF spec sheets into structured parts.

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Jul 2025

Sweat · trophy day

HikingSierras

Mount Whitney, alpine start.

Two days in the Whitney Zone: 6.5 miles up to a camp at 12,000 feet, trout from the lake next to the tent, a 2:27 AM summit push, sunrise on the 14,505-foot summit, and twelve hours back to the trailhead. 21 miles round trip; 6,500 feet of climbing; one night of sleep at altitude.

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May 2025 →

Role · current

PricingCausal inferenceBayesianSQL

Data Scientist at Extend

Pricing and risk models for extended warranties, deployed across Peloton, Oura Ring, Sonos, Michaels, and Advance Auto Parts. $600K+ in incremental net revenue from pricing and term optimizations. Behavioral-economics-shaped test design; Bayesian, frequentist, and quasi-experimental evaluation.

Dec 2024

Sweat · race result

TriathlonIRONMAN 70.3

IRONMAN 70.3 Indian Wells — 5:41:08.

1.2-mile swim, 56-mile bike, 13.1-mile run, in that order, with two transitions in between. The bike was the strongest leg by margin — 2:44:15, division rank 39. A peak, not an experiment.

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Aug 2024 — May 2025

Role

PECybersecurityInternal tools

Private Equity Analyst at Carrick Capital Partners

Covered cybersecurity and GRC. Built an internal tool that ranks investment prospects from market maps; analysts used it to prioritize sourcing and it set up three meetings at the RSA Conference. Cut analysis time by roughly 80%.

May 2024

milestone

CornellMPS

MPS Data Science, Cornell Bowers CIS — graduated, 3.99 GPA

One-year Master's after the BS. The interesting work was AmEx ML research and the financial-crisis risk project; the rest was the rigor that lets you read a paper without bluffing.

Apr 2024

Coursework · STSCI 5610

RRisk modelingCAPM

Re-pricing two bank stocks through the 2008 crisis

Rolling-window CAPM in R: alpha, beta, and statistical tests of market-relative performance for Goldman Sachs and JPMorgan through the worst of 2008. The fun was watching beta of an investment bank go from "diversifiable" to "the entire market is the bank" in three months.

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Feb — May 2024

Research · led 8 engineers

ML researchHDBSCANLSTMNLP

AmEx — hunting mislabeled training data in a customer-service classifier

A Cornell master's research project with American Express: detecting the mislabeled "ground-truth" examples and confident misclassifications in a BERT customer-service classifier. Clustering its embeddings with HDBSCAN and Louvain worked — high-confidence errors were overwhelmingly mislabels we could flag for review — while an LSTM trained on the model's training dynamics didn't pan out. I led the eight-person team.

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Dec 2023

milestone

CornellBS

BS Information Science, Cornell CALS — magna cum laude, 3.88 GPA

Information Science with a Business minor. Independent research in text mining; a lot of late nights in Gates Hall.

2021 — 2024

Sweat · varsity

CornellSprint football

Three seasons on Cornell Sprint Football (#87).

The 178-lb-weight-cap collegiate league, played by exactly nine schools. Three seasons at wide receiver, #87; six games and All-CSFL Academic honors as a senior. The receipt for everything I do now.

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Fall 2023

Coursework · INFO 6350

NLPClusteringData wrangling

Text-mining 359 Oscar screenplay nominees, 1940–2022

For Text Mining History and Literature, Casey Kaufman and I turned every Academy Award Best Original Screenplay nominee since 1940 into data — subtitles standing in for scripts. Most of the work was cleaning. The surprise: a model could tell winners from losers more readily than it could tell the decades apart.

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Fall 2023

Independent research · INFO 4900

NLPBERTClassification

Text-mining a year of morning newsletters — the Times vs the Brew

An independent-research project under Prof. Matthew Wilkens: I scraped a year of the New York Times' morning newsletter and Morning Brew by hand. A classifier could tell the two apart at ~89% — but predicting the day a newsletter went out, by topic, by token, and by fine-tuned BERT, never worked at all.

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Summer 2023

Role · intern

PEModeling

Private Equity Intern at Carrick Capital Partners

First exposure to software investing. Financial modeling, market research, expert calls. Got asked back full-time the following year.

Summer 2022

Role · consulting intern

ConsultingOperations

PwC — operational strategy for CareerVillage

Helped CareerVillage improve student-question to professional-response matching efficiency. Side quest: led a team to 2nd place out of 70+ in PwC's firmwide consulting case competition, presenting to a Partner panel.