Writing

All Write-ups

Notes on software projects, book reviews, and thoughts on engineering, finance, and the craft of building things.

7 write-ups

API Documentation as a Code

API documentation generated directly from code provides clearly abstracted methods for HTTP and system APIs — supporting code-generation LLMs and LSP integrations for accurate developer suggestions.

6 min read Software Engineering

The Big Short — Book Notes

Reveals how a few unconventional investors foresaw the 2008 financial crisis and profited from the collapse of the housing market. Through sharp storytelling, Lewis exposes Wall Street's greed, ignorance, and the complex financial instruments nobody fully understood.

4 min read Reading List

The Checklist Manifesto — Book Notes

Explores how simple checklists can prevent errors and improve performance in complex fields like medicine, aviation, and engineering. Gawande shows that structured routines don't constrain expertise — they protect it.

4 min read Reading List

The Unthinkable — Book Notes

Examines how people respond to disasters — why some freeze, others act, and a few survive against the odds. Blending science, psychology, and survivor stories, Ripley shows how awareness and mental preparation change outcomes.

4 min read Reading List

Field Canvassing and Survey Application

A canvassing survey system for a U.S. territory enabling volunteer onboarding, group assignment, and guided data collection. Built with FastAPI, React Native, and Mapsly-generated GeoJSON boundaries to accurately coordinate 1,000+ volunteers across geographic areas.

5 min read Personal Projects

Multi Vendor Food Delivery Application

App lets users explore multiple restaurants, place orders, and get food delivered by an auto-assigned delivery partner. Built with React Native, it runs on both iOS and Android with real-time tracking, secure payments, and push notifications.

5 min read Personal Projects

Content Recommender System

Collaborative filtering and psychographic models to understand customer similarities. By calculating Euclidean distance between user preference vectors, it identifies closely related customers and surfaces products they're likely to engage with.

7 min read Personal Projects