Projects

FLAGSHIP

Archery Apprentice

Production-Grade Cross-Platform Mobile Application

Kotlin Multiplatform Swift Jetpack Compose GitHub Actions JaCoCo CodeCov iOS Android

A comprehensive cross-platform mobile application for tracking archery scores, built with Kotlin Multiplatform for shared business logic and native UI implementations in Swift (iOS) and Jetpack Compose (Android). The project showcases production-grade development practices with extensive CI/CD infrastructure.

▸ 95%+ Code Coverage: Comprehensive test suite with JaCoCo integration and CodeCov reporting

▸ Automated CI/CD Pipeline: GitHub Actions workflows for automated testing, building, and deployment

▸ Cross-Platform Architecture: Shared Kotlin Multiplatform code for business logic with native UI layers

▸ iOS Native UI: SwiftUI implementation with seamless KMP integration

▸ Android Native UI: Jetpack Compose for modern, declarative Android interface

▸ Network Syncing: Real-time data synchronization across devices

▸ Production Best Practices: Dependency injection, repository pattern, clean architecture

Technical Highlights: This project demonstrates advanced DevOps capabilities including automated testing workflows, code quality gates, and cross-platform deployment pipelines. The CI/CD infrastructure ensures every commit is validated, tested, and ready for production deployment.

2024 • Mobile Development View Documentation →

ENTERPRISE

AULMA

API Usage Logging & Monitoring Application

Apache Kafka Google BigQuery Spring Cloud Stream Java Microservices Event Streaming

Developed a scalable enterprise-grade application for monitoring partner API usage and asynchronously logging all API calls for analytics and reporting. Built using a cutting-edge tech stack to handle high-throughput data processing and real-time monitoring.

▸ Event-Driven Architecture: Apache Kafka for reliable stream processing and message queuing

▸ Scalable Data Storage: Google BigQuery integration for analytics-ready data warehousing

▸ Microservices Design: Spring Cloud Stream for building modular, independently deployable services

▸ Real-Time Monitoring: Live dashboards for tracking API usage patterns and anomalies

▸ Asynchronous Processing: Non-blocking event handlers for high-performance operation

▸ Partner Integration: Sponsored Search API and Play framework integration

Learning Experience: This project involved mastering several technologies I had never used before, including Apache Kafka, Google BigQuery, and Spring Cloud Stream. The challenge of building a production system with these new tools strengthened my ability to rapidly learn and apply cutting-edge technologies.

2023 • Backend System Learn More →

NSF

NSF - HPC Thermal Modeling & Prediction

Machine Learning for Energy-Efficient Computing

XGBoost Machine Learning Bash JavaScript Data Analysis

An NSF-funded undergraduate research project at California State University, Northridge, focused on developing machine learning models to predict thermal behavior in high-performance computing systems. Built an automated benchmarking pipeline and developed a highly accurate XGBoost model for temperature prediction across HPE BladeSystem c7000 infrastructure.

▸ NSF-Funded Research: Undergraduate research grant from the National Science Foundation

▸ XGBoost ML Model: Achieved 0.118 RMSE and 0.999 R² accuracy in thermal prediction

▸ Automated Pipeline: Developed Bash tooling for systematic benchmark execution on HPE BladeSystem c7000

▸ Web Dashboard: Built JavaScript-based visualization interface for real-time thermal data analysis

▸ Research Publication: Contributed to academic paper on HPC thermal management strategies

▸ Data Collection: Designed automated scripts for continuous sensor data capture across compute nodes

Research Impact: This NSF-funded research project provided hands-on experience in applied machine learning and high-performance computing optimization. The highly accurate thermal prediction model (R² = 0.999) demonstrated the potential for ML-driven approaches to energy-efficient computing infrastructure management, with implications for reducing operational costs in data centers and HPC facilities.

2022-2023 • Research Learn More →

NASA

IRP - Integrated Report Processor

NASA JPL Testbed Automation Tool

Python Pandas Data Analysis Automation NASA

A standalone report processor developed during my internship at NASA's Jet Propulsion Laboratory to assist instrument engineers with processing testbed reports from the Europa Clipper mission testing platform. The tool dramatically improved engineer productivity and report review efficiency.

▸ 70% File Size Reduction: Intelligent parsing reduced 600,000+ line reports by over 70%

▸ NASA JPL Deployment: Production tool used by mission-critical engineering teams

▸ Workflow Optimization: Significantly accelerated engineer report review process

▸ Data Processing: Advanced Pandas operations for efficient large-file handling

▸ Specification-Based Filtering: Intelligent extraction of relevant data based on mission specs

▸ Performance Optimization: Mitigated system issues caused by massive file sizes

Impact: This project remains my proudest achievement, contributing to NASA's Europa Clipper mission while solving real-world problems for instrument engineers. The experience of working on mission-critical systems taught me the importance of reliability, precision, and user-centric design.

2020-2021 • NASA Internship View Details →

GAME JAM

Dodging Game

JavaFX Game Development

Java JavaFX Game Development Game Jam

A simple but engaging game developed using Java and the JavaFX library during a 6-hour game jam workshop in 2020. Players control a character that must avoid randomly generated monsters moving across the screen. This was my first experience with both Java and the JavaFX framework.

▸ Rapid Development: Completed in 6 hours during game jam workshop

▸ First Java Project: Introduction to Java programming and object-oriented design

▸ JavaFX Framework: Learned GUI development and event handling

▸ Game Mechanics: Collision detection, random generation, player controls

2020 • Game Jam Play Demo →

Archery Apprentice

AULMA

NSF - HPC Thermal Modeling & Prediction

IRP - Integrated Report Processor

Dodging Game

More Projects Coming Soon

Interactive Demos

Animation Showcase

Snake Game