Hej, I'm

Brian Ngo

About Me

I'm currently pursuing my Bachelor's in Computer Science at California State University, Fullerton, where I'm developing a strong foundation in software engineering, AI/ML, and innovative problem-solving. I'm passionate about using technology to drive innovation and tackle complex challenges, and I'm always eager to learn new skills to stay ahead in our ever-evolving digital world.

Every day I strive to grow, learning from my experiences and pushing myself to become a better version of who I was yesterday. I enjoy opportunities that allow me to work collaboratively, contribute to exciting projects, and make a meaningful impact. I'm also known for my loyalty and commitment, always standing by my team and my goals through every challenge.

When I'm not immersed in technology, you'll likely find me dancing, listening to music, attending concerts and festivals, exploring new restaurants, and nature destinations :)

Featured Projects

Here are some of my recent projects that showcase my skills and passion for development.

Custom Digital Smartwatch

4/29/2025

Featured

Xi-Smartwatch is a touchscreen smartwatch developed by the Xi Class of Theta Tau, featuring three primary applications: a Timer & Stopwatch App with reliable clock functionalities, a Random Number Generator utility app for games and decision-making, and Golden Pony, a Flappy Bird-inspired mini-game designed to boost be a fun way to relieve stress for college students.

PythonPygameRaspberry PiLinuxBashGit

Code

Full-Stack ERP Platform

8/1/2025

Featured

I created a scalable enterprise platform with modular architecture to streamline business operations and improve efficiency. It features a user-friendly interface, real-time data synchronization, and advanced reporting capabilities.

Next.jsReactTypeScriptPostgreSQLSupabaseTailwind CSS

Code

AWS: Duckling Supplier Diversity

5/22/2025

Featured

Developed a comprehensive email spam filtering system as a capstone project for computer science coursework. Built an interactive web application using Streamlit that implements machine learning classification algorithms to automatically detect and filter spam emails.

PythonStreamlitScikit-learnpandasnumpyNLTKNaive BayesGit

Code

Talk-To-Me:Real-Time Multilingual Translator

10/26/2025

Featured

Built a real-time multilingual voice translation platform with 2 operational modes (single-device and multi-user), integrating 3 AI models (Deepgram STT, GPT-3.5 for translation, OpenAI TTS) to enable live conversations across 5 languages with sub-100ms transcription latency. Won 2nd place in LiveKit's "Most Advanced Use of LiveKit" category at CalHacks 12.0.

Next.js 15React 19TypeScriptPythonDeepgram STTOpenAI TTSLiveKitJWT

Code

View All Projects

Work Experience

My professional journey in software engineering, building impactful solutions and growing technical expertise.

Software Engineering Internship

NEX

10/1/2025 - Present

Implemented centralized pricing systems and built high-performance web scraping tools with advanced anti-detection capabilities.

PythonSeleniumAPI DevelopmentWeb ScrapingAutomation

Key Achievements:

Implemented centralized pricing system with multiple strategies (flat-rate, resolution-based, time-based) and complexity multipliers, adding cost breakdowns and usage tracking to API responses.

Built a high-performance Pinterest web scraper using Python and Selenium that extracts high-resolution images with anti-detection features (randomized human-like behavior, proxy rotation), multi-instance support, and automated Chrome profile generation, successfully scraping thousands of images across multiple keywords with real-time CSV export.

Hacker

CalHacks 12.0

10/24/2025 - 10/26/2025

Built a real-time multilingual voice translation platform enabling live conversations across 5 languages with advanced AI integration and WebRTC audio streaming.

Next.js 15React 19TypeScriptPythonWebRTCDeepgram STTGPT-3.5OpenAI TTSLiveKitJWT

Key Achievements:

Won 2nd place in LiveKit's "Most Advanced Use of LiveKit" category.

Atteneded an Invite-Only Y Combinator's Networking Event.

Developed full-stack application using Next.js 15/React 19 frontend (2,300+ lines across 21 TypeScript components) and Python backend with WebRTC audio streaming, achieving 40fps speaker visualizations through volume-based exponential smoothing

Engineered real-time state synchronization system with 11-action reducer pattern and LiveKit participant attributes for dynamic translator instantiation, enabling just-in-time language switching and audio routing across concurrent users

Implemented token-based access control with JWT authentication, role-based publishing permissions, and RPC-enabled client-server communication to manage audio track filtering and participant-specific caption rendering

Founder

Verdantic

6/2/2025 - Present

Designed and implemented scalable full-stack ERP platform using Next.js/React/TypeScript, achieving significant performance improvements and code reduction.

Next.jsReactTypeScriptPostgreSQLSupabase

Key Achievements:

Licensed to a manufacturing company in Silicon Valley.

Reduced client team workload by 66%, enabling employees to reallocate time toward higher-value projects.

Designed and implemented a scalable full-stack ERP platform using Next.js/React/TypeScript, which achieved 83% code reduction through modular architecture and component reusability across order management, production, and inventory systems.

Engineering a high-performance database layer with PostgreSQL/Supabase, eliminating N+1 queries through batch fetching and implemented Map-based lookup tables to enhance data retrieval loading time from 40 seconds to 3 seconds.

Delivering an end-to-end user experience with responsive design, real-time search algorithms, and automated workflow orchestration, which drove operational efficiency across the manufacturing pipeline

Attendee

AWS AI Summer Camp

7/27/2025 - 8/31/2025

Led as central support figure for the team, guiding peers and empowering others to succeed through consistent leadership.

LeadershipProject ManagementAWSPythonStreamlitPlotlyScikit-LearnRetrieval-Augmented Generation (RAG)

Key Achievements:

Developed and deployed an end-to-end AI platform using Python, Streamlit, and Plotly, delivering real-time procurement analytics via a responsive, full-stack web interface.

Implemented a TF-IDF + cosine similarity engine (Scikit-Learn) to vectorize and compare over 300K procurement records, boosting supplier matching accuracy with >0.4 similarity thresholds.

Addressed critical supplier diversity challenges and solved procurement inefficiency for local small businesses around Cal Poly SLO by developing an AI solution that automates the supplier discovery process, previously reliant on manual research, to help increase their small business participation towards their desired goal.

Architected a scalable serverless pipeline using AWS S3, Lambda, and Bedrock Claude 3.0 with Retrieval-Augmented Generation (RAG) to power a context-aware procurement recommendation chatbot