I am a Computer Science Graduate (Class of 2024) from the University of La Verne.

• 💼 Current Role: Software Development Intern at SupplyBistro (GustoMarket) (November 2025 - Present)
• 🔭 Previous Experience: Software Development Engineer at University of La Verne (2 years) - Data Analysis and Research Initiatives
• 🚀 Current Focus: Building full-stack e-commerce solutions with Django, Python, JavaScript, and AWS cloud services
• ⚡ Interests: Full-stack development, database architecture, AI/ML applications, system optimization, and creating scalable web applications
• 📫 How to reach me: LinkedIn
• 😄 Pronouns: He/Him

• 🛒 Anonymous Customer POS System - Engineered walk-in customer processing with Django signals, achieving zero-friction checkout for suppliers
• 📱 Mobile Order Management - Developed unified cart system with localStorage persistence, one-tap checkout, and RFQ (Request for Quote) support
• 🗺️ Address Management System - Architected soft-delete solution with audit trails, fixing data leakage affecting 1,082+ addresses
• 📄 Document Upload System - Built FormData/Fetch API-based file upload with client/server validation supporting PDF, PNG, JPG formats

• 🔧 Fixed critical PostgreSQL query issues in supplier directory (CompanyRelationship schema optimization)
• 📊 Implemented database migrations with rollback strategies for production safety
• 🏗️ Designed dual-column tracking systems for business vs. technical states
• 🔍 Created comprehensive management commands for data synchronization and validation

• 🔒 Data Leakage Prevention - Resolved critical security issue where 1,082 addresses were visible across all companies; implemented soft-delete with audit trails
• 🗄️ Database Schema Correction - Fixed pending supplier invisibility bug by identifying and correcting incorrect column usage (status vs supplier_relationship_status)
• 💳 Transaction Management - Resolved TransactionManagementError in multi-vendor order placement by implementing proper atomic transaction handling
• 📊 Dashboard Analytics Crash - Fixed TypeError: float(None) across 4 critical locations in seller dashboard analytics

• ✅ 30+ Unit Tests created for POS regression and feature validation
• ✅ 508 Invalid Addresses flagged and hidden from production UI
• ✅ 3 Database Migrations deployed with zero downtime
• ✅ 20+ Pull Requests merged addressing critical bugs and features

September 2025 – December 2025

• 🛠️ Workflow Optimization: Analyzed testing workflows and identified a bottleneck in system reboot times; optimized the protocol to eliminate a 1-4 minute delay, increasing daily system throughput
• 🖥️ Diagnostics: Diagnosed component-level failures on 120+ enterprise-grade workstations daily, isolating root causes in NVIDIA RTX 40/50 series GPUs and Intel CPUs
• ⚡ Quality Control: Enforced strict quality control standards for high-performance computing hardware, preventing DOAs (Dead on Arrival) and reducing RMA rates

March 2025 – October 2025

• 📶 Uptime: Maintained 99.9% service availability for digital exam platforms, supporting 3,100+ concurrent users during high-pressure testing windows
• 🚨 Incident Response: Triaged and resolved 7+ critical connectivity and hardware incidents in real-time, minimizing disruption for exam participants
• 🔍 Monitoring: Proactively monitored network health and system performance metrics to mitigate connectivity anomalies before they impacted operations

June 2024 – August 2025

• 🤖 Edge AI Deployment: Deployed computer vision models on NVIDIA Jetson Orin Nano devices for 160+ students, emphasizing optimization for hardware-constrained inference
• 🎓 Technical Instruction: Taught Python, OpenCV, and Deep Learning concepts, integrating real-time debugging demonstrations to improve student project completion rates
• 👥 Leadership: Mentored a team of 6 instructors on classroom leadership and technical debugging, fostering a collaborative environment
• 🔧 Hardware Integration: Guided students in integrating hardware sensors with software logic for automated tracking projects

October 2021 – May 2024

• 🐍 Automation: Automated administrative data workflows using Python scripts, replacing manual log processing and saving 10+ hours of weekly staff labor
• 🎥 IT Support: Orchestrated IT support for major on-campus conferences, managing live streaming hardware, Zoom configurations, and real-time troubleshooting for speakers
• 🏗️ ETL Pipelines: Built Python ETL pipelines to extract and transform data from legacy systems for internal reporting dashboards
• 🔄 Legacy Maintenance: Maintained and refactored legacy Python codebases to improve performance, readability, and long-term maintainability

Python | TensorFlow | OpenCV | Streamlit

A high-accuracy Convolutional Neural Network (CNN) designed to classify brain MRI scans.

• Features: Deployed as a web app via Streamlit for <2s real-time inference. Integrated Google Gemini API to provide "Explainable AI" (XAI) text summaries alongside visual predictions
• Status: Completed

TypeScript | React | Azure OpenAI

A collaborative task management web application developed for the Azure AI Developer Hackathon.

• Features: AI-powered check-ins and summaries using GPT-4. Built with React.js, TailwindCSS, Node.js, and Azure Functions. Automated CI/CD using GitHub Actions
• Last Updated: March 2025

C++ | Low-Level Programming

Building a game engine from scratch to understand the fundamentals of graphics and memory.

• Focus: Low-level memory management, custom allocators, and graphics rendering architecture
• Status: In Active Development

C++ | Systems Programming

A custom memory manager designed to track dynamic allocations and detect memory leaks.

• Features: Custom tracking tools for fragmentation analysis and memory layout optimization. Demonstrates deep understanding of pointers and system resources
• Status: Completed

Python | Data Processing

A Python script that parses XML files and converts them into easy-to-read CSV/Excel format.

• Use Case: Streamlines data processing, reporting, and analysis workflows for legacy data systems
• Last Updated: January 2025

Python | Machine Learning

A machine learning project focused on recognition tasks and AI model implementation.

• Last Updated: July 2025

             

         

                 

• 🏆 Azure AI Developer Hackathon Participant
• 🔧 Experienced in Full-Stack Development (React, Node.js, TypeScript)
• ☁️ Cloud Development with Azure OpenAI and Azure Functions
• 🤖 AI/ML Integration in production applications
• 🛠️ Systems Programming (C++, Low-level memory management)
• 📈 Data Processing & Automation (Python, XML, CSV)
• 🚀 CI/CD Pipelines with GitHub Actions