CS student at CSULB with an ML specialization, building at the intersection of Agentic AI, Big Data, and real-world product. I'm a 7× hackathon & datathon winner, Co-Founder of an AI startup, and ML researcher extending multi-agent self-improvement architectures. When I'm not shipping code, I'm organizing BeachHacks — CSULB's flagship hackathon and leading the Google SWE Fellows track for the next generation of engineers.
class Phu:
def __init__(self):
self.name = "Quach Thien Phu"
self.role = ["Software Engineer", "AI/ML Engineer", "Startup Founder"]
self.university = "Cal State Long Beach (CSULB) — CS, ML Specialization"
self.grad_year = "May 2027"
self.company = "Co-Founder & CEO @ Tabescere"
self.entrepreneur = "Top 3 Sunstone Innovation Challenge ($5K)"
self.internship = "AI Software Engineer Intern @ Fetch AI, Inc. (Summer 2026)"
self.leadership = ["ACM VP", "BeachHacks Director", "Google SWE Fellows Lead", "Break Through Tech Fellow"]
self.wins = "14+ hackathon, datathon & innovation challenge wins (full list in Achievements section below)"
self.languages = ["Python", "TypeScript", "JavaScript", "C", "C++", "SQL", "Go"]
self.interests = ["Agentic AI", "LLM Fine-tuning", "Computer Vision", "Big Data"]
def current_focus(self):
return [
"Building Tabescere - AI agent that finds you a place to rent",
"VoiceBridge — AI voice control & desktop automation startup",
"Building an AI agent for Fetch AI",
]
def fun_fact(self):
return "I love building projects and competing in hackathons! Gym rat +3 years."| Result | Event | Project |
|---|---|---|
| 🥇 1st Place | USC AI Hackathon | VoiceBridge |
| 🥇 1st Place | BeachHacks (Fetch.ai Track) | NeuroFlow |
| 🥇 1st Place | Diamond Hacks UCSD (Fetch.ai Prize Winner) | AgenticHire |
| 🥇 1st Place | AWS Cloud Hackathon, UC Irvine | Mindfulness AI |
| 🥈 2nd Place | California Business Datathon, LMU | California Labor Code Section 504 Analysis |
| 🏅 Best Use of blackboard.io (MLH) | HackTech Caltech Hackathon | Nova AI |
| 🏅 Best Use of Remy | MindStudio | Planforce |
| Event | Project | Recognition |
|---|---|---|
| Sunstone Innovation Challenge (2026) | VoiceBridge / Nova | Top 3 Finalist overall, $5,000 funding accelerator |
| YC HUD Frontier/RSI RL Environments Hackathon | Warehouse AI | Top 14 of 71+ projects submitted |
| YC Call My Agent Hackathon | Apex AI | Personal follow-up from YC Partner David Lieb |
| YC Voice Agents Hackathon | VoiceShield Forge | Personal follow-up from sponsor company |
| Autonomous Healthcare Hackathon (Legion Health, Cursor, xAI) | Materna | Coffee chat with YC-backed CTO/founder |
- ACM Vice President, CSULB: leading the university's computer science community
- BeachHacks Director: secured $11,000+ and 10+ sponsors, led a 20+ member team to build the largest hackathon in Long Beach
Languages
AI / ML & Data Science
Data Viz & Analysis
Databases
Web Frameworks & Backend
DevOps, Cloud & Data Engineering
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AI Voice Control & Desktop Automation Startup Co-Founder & COO. Won 1st Place @ USC Hackathon (Dain's Challenge). Competing in Sunstone Innovation Challenge.
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Multi-Agent Self-Improvement Architecture Extending SiriuS (arXiv:2502.04780) with a novel Critic-Guided Evolutionary framework. Fine-tuning on PubMedQA with GPT-4.1-nano via OpenAI API.
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Glitch @ UCLA Hackathon — Mar 2026 Transforms story briefs into cinematic teaser videos using Google GenMedia APIs — Gemini 3.1, Veo 3.1, Lyria RealTime. Submitted to Kaggle competition.
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BeachHacks — Multi-Agent Study Companion AI-powered study companion using Fetch.ai uAgents framework. Orchestrates multiple specialized agents for adaptive learning.
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UCI Hackathon — Crisis Support Platform Real-time crisis support using Twilio, AssemblyAI, GPT-4o, and ElevenLabs for voice-first mental health assistance.
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UCSB Hackathon — Best Dining Hall App AI-powered UCSB dining hall app with real-time wait time prediction using YOLO v3 computer vision on live camera feeds, plus personalized menu recommendations based on dietary needs.
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Top 2 — LMU Datathon 2025 Analyzed 25,052 shifts for compliance with California's Wage & Hours law (Section 512a). Identified $232,401 in financial exposure from non-compliance across Company XYZ's workforce data.
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UCI Datathon ML model analyzing 54,681 Uber driver signups to predict first-trip completion (only 11.22% convert). Identifies high-potential drivers and provides actionable recommendations to improve conversion rates.
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20 Projects — Fundamentals to Production AI A comprehensive collection spanning the full ML stack: neural networks from scratch, computer vision (CNNs, U-Net, FaceNet, MobileNet), NLP & Transformers, Generative AI (LLMs, RAG, vector search), and Agentic AI (CrewAI, LangGraph, Fetch.ai). Each project includes detailed documentation and Jupyter notebooks.
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