Software engineer · Oakland, California
I’m a software engineer at Meta, working in Integrity. Outside work, I make personal apps for tracking things, organizing information, and occasionally solving a problem I could probably have left alone.
This site is a collection of those projects, along with older machine learning experiments and technical write-ups. Recent projects are mostly tools for everyday use: health, fitness, finances, travel, and a few other interests.
These days AI does much of the coding. I’m mostly deciding what I want the apps to do and trying them out. The newer articles are AI-generated too, and labeled accordingly.
Recent apps are followed by older projects and technical articles. Most of the newer apps are personal tools with private source code; each write-up explains what the app does and gives a brief overview of the stack.
An ESPN fantasy football assistant that uses the league’s actual rules, roster, and available players. It checks lineups around game days, considers roster changes, and keeps a record of whether its recommendations helped.
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A map for collecting places to visit and things found along the way. Save locations with photos and notes, organize them into shared layers, and use photo identification to build a collection of nature observations.
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A place to organize rankings of films or anything else. Choose a list, tiers, ratings, or a tournament bracket; add images; or start from the films already rated in an imported IMDb library.
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An Android companion that records time spent in each app and syncs daily usage to Omni. It runs in the background so screen-time history does not depend on manually connecting the phone or exporting reports.
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A workout tracker with sets, weights, reps, personal records, and templates. It keeps years of imported FitNotes history and supports offline logging, with an Android version for use at the gym.
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A dashboard around Lunch Money for reviewing shared spending and longer-term finances. It includes transaction ownership, budget comparisons, account history, and retirement projections in one place.
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Log food through search, a barcode, or a plain-language description. Custom foods and recipes cover repeated meals, while daily summaries connect the food diary with activity and the main Omni app.
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A replacement for my daily tracking spreadsheet, with logs for habits, weight, exercise, and notes. It brings in Fitbit sleep and activity, food summaries, and phone usage so I can browse the information together.
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Using AI to estimate weight from progress photos
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Replace polling with WebSockets for instant multiplayer sync
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Avoid stale updates in DynamoDB using List Append and Condition Expressions
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Use AWS SAM to deploy simple serverless backend
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Use GitHub Actions to deploy static website to AWS
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Using different Supervised Learning methods to classify NFL Player Position
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Classification and Detection with Convolutional Neural Networks
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Experimenting with Various Unsupervised Learning Techniques
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Experimenting with Various Supervised Learning Techniques
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