Hej, I'm

Brian Ngo

About Me

No mud, no lotus. My life's journey has been shaped by embracing challenges that have led to significant growth.

Every day I strive to grow, learning from my experiences and pushing myself to become a better version of who I was yesterday. Without these challenges, there would be no opportunity for any profound transformation and understanding. I enjoy opportunities that allow me to work collaboratively, contribute to exciting projects, and make a meaningful impact. I'm proud to showcase my loyalty and commitment, always standing by my team and goals throughout every challenge.

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

Personality Type: ENTP-T

Work Experience

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

Software Engineer Intern

NEX

10/1/2025 - Present

Led full-stack development of an internal CRM and architected AI-powered sales automation tools, improving productivity by 5x for the sales team.

Full-StackCRMPrismaMCPLLMsOAuth 2.0PKCESlack API

Key Achievements:

Led full-stack development of a custom, internal CRM (Next.js, Prisma, PostgreSQL) at an early-stage CPG-focused startup to manage the complete B2B sales lifecycle of customers, touchpoints, and tasks, like automated emails, Slack notifications, and scheduled alerts w/ cron jobs, improving sales team productivity by 5x.

Architected a custom Model Context Protocol (MCP) server exposing 40+ tools across CRM entities over stateless HTTP, enabling AI integrations to drive sales workflows, reducing manual data-entry time.

Engineered a multi-layer security architecture with Clerk auth, OAuth 2.0 + PKCE (HMAC-SHA256 token hashing), Upstash Redis rate limiting, role-based access control, and a full audit log capturing every API operation, eliminating security risks from static API keys across all integrations.

Career Development Mentee

Salesforce

11/1/2025 - Present

Salesforce Workplace Mentoring Program via Big Brothers Big Sisters Of America.

MentorshipCareer DevelopmentProfessional Growth

Key Achievements:

Participating in the Salesforce Workplace Mentoring Program via Big Brothers Big Sisters Of America, gaining industry insights and professional guidance from an experienced Salesforce mentor.

Biocomputational Data Science Researcher

California State University, Fullerton

1/1/2026 - Present

Discovering breakthroughs led by Dr. Nikolaidis!

RNA-seqDEG AnalysisBioinformaticsPythonData Visualization

Key Achievements:

Built an end-to-end RNA-seq analysis pipeline (DESeq2, PCA, volcano plots) to convert raw sequencing data into gene expression insights, reducing manual analysis time through automated quality-control checks.

Developed reproducible bioinformatics workflows that enabled robust detection of cellular stress response patterns across experimental conditions, accelerating research iteration cycles for the lab team.

Undergraduate Researcher

Raytheon

1/1/2026 - Present

Partnering with a Raytheon Software Engineer mentor among group members to architect and implement real-time security metrics, formalize system requirements, and deliver production-ready, industry-standard performance.

Security EngineeringSystem ArchitectureSoftware Engineering

Key Achievements:

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.

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

Developed full-stack application using Next.js/React 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:

Founded and shipped a cloud-based ERP platform supporting concurrent users at production-grade reliability, enabling client teams to operate without performance bottlenecks at scale.

Improved client operational efficiency by 300% by automating manual workflows and optimizing database performance, cutting average query latency from 40s → 3s and enabling real-time usage.

Undergraduate Researcher

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 ManagementAWSPythonStreamlitScikit-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

Professional Development Chair, Web Development Chair

Theta Tau, Phi Epsilon Chapter

2/1/2025 - Present

Designed and maintained the organization's official website and delivered technical workshops to improve member career readiness.

LeadershipWeb DevelopmentCareer DevelopmentCommunication

Key Achievements:

Designed and maintained the organization's official website (csufthetatau.com) and delivered technical workshops that improved member career readiness for SWE recruiting pipelines.

Download Resume

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