Full-stack developer focused on iOS, Laravel, and data-driven tools. I architect real-time systems, data pipelines, and mobile applications that solve real-world problems.
Primary Stack
Work
Real-world systems built for performance, scale, and decision support. Not tutorials—production thinking.
iOS Application
A real-time iOS application with QR-based team management and live scoreboards. Built with a custom image processing pipeline for ML training data collection.
Full-Stack Platform
Enterprise service platform for managing air conditioning maintenance operations at scale. Automated technician dispatching with client and admin coordination layers.
Analytics System
A personal analytics platform built to improve decision consistency and track behavioral patterns across trading sessions. Data-focused UI designed for systematic review.
ML / Data Pipeline
End-to-end machine learning pipeline that identifies mispriced options contracts. Covers data ingestion from Kaggle through feature engineering to model evaluation.
Educational Tool
Interactive educational simulator that visualizes classic CPU scheduling algorithms side-by-side. Built as a WWDC project to make OS concepts tangible and comparable.
Philosophy
I don't just build apps that look good — I build systems that process real-world data, support decision-making, and optimize workflows. Every project starts with a question: what problem does this data solve?
5+
Production Systems
iOS, web, and data pipelines
3
Data Pipelines
Scraping → processing → insight
2
ML Models Shipped
XGBoost, Random Forest
Real-time
Architecture Focus
Firebase, WebSockets, serverless
01
Automated pipelines that collect, clean, and structure raw data from external sources.
02
Feature engineering, ML model training, and business logic that transforms data into decisions.
03
Interfaces and systems that surface insights, reduce noise, and enable consistent action.
Systems in this portfolio
Expertise
A cross-stack developer with depth in iOS, backend systems, and data engineering.
Native iOS apps with real-time data, camera, and ML integration.
RESTful services, business logic, and enterprise platform architecture.
Modern web interfaces with clean UX and component-driven architecture.
ML pipelines, data preprocessing, and local LLM tooling.
Infrastructure, version control, real-time architecture, and system design.
Also familiar with
Writing
Writing on real-time systems, data pipelines, and the craft of building things that actually work in production.
How to architect Firebase-backed iOS apps that handle live data synchronization, conflict resolution, and offline-first UX patterns without sacrificing performance.
A practical walkthrough of building an end-to-end pipeline: scraping structured data, engineering features, and surfacing insights through a decision-support interface.
The mental shift from building features to designing systems: how thinking in flows, constraints, and feedback loops changed the way I approach every project.