Peihao Dou

Chapman University

Statistical Research Programmer • Dec 2025 — Present

Contributed to ML research in GLP-1 Receptor Agonist.

Wave Dynamics

Software Engineer Intern • Sep 2025 — Present

Contributed to developing a high-performance full-stack ticketing platform (Wave Dynamics).

Alibaba Group

Software Engineer Intern (LLM Applications) • June 2025 — Aug 2025

Architected and implemented a Model Context Protocol (MCP) server. Contributed to Alibaba’s open-source project ROLL (Reinforcement Learning Optimization for Large-Scale Learning) by implementing MCPEnv as a custom reinforcement learning environment. Independently designed and built a full-stack web platform for RL model services, integrating dynamic Docker orchestration, real-time container management, and multi-cloud deployment via a unified React-based interface.

Travelsky Mobile Technology Limited

Software Engineer Intern (Computer Vision) • May 2023 — Aug 2023

Built a real-time Computer Vision platform at Chengdu Shuangliu International Airport, processing video streams from 8 camera stations and supporting 20+ distinct alert categories for automated monitoring and warning services.

University of California, San Diego (UCSD)

Master of Science, Computer Science and Engineering • 2024 — 2026 March

Related Courseworks: Algorithm Design and Analysis, Graduate Networked Systems, Computer Architecture, Operating Systems Principles, Systems for LLMs and AI Agents, Deep Learning, Probabilistic Reasoning and Decision-Making

Hong Kong University of Science and Technology (HKUST)

Bachelor of Science, Computer Science & Mathematics (Double Major) • 2020 — 2024

• First Class Honor
• University’s Scholarship Scheme for Continuing Undergraduate Students (2021 - 2023)

Related Courseworks: Programming with C++, Data Structures and Algorithms, Operating Systems, Computer Organization, Machine Learning, Deep Learning in Computer Vision, and many many CS and Math courses in different areas...

Identification of Collusive Adversaries from a Single Adversarial Example via Machine Learning Watermarks

Algorithm Design & Model Training • Sep 2023 — Apr 2024

Designed a machine learning watermarking framework to trace and identify collusive adversaries exploiting a single adversarial example. Proposed a scalable tracing mechanism capable of distinguishing multiple collaborating attackers, improving model forensics and accountability in adversarial machine learning.

Online Game Shop

Backend Development • Oct 2023 — Dec 2023

Developed a full-stack online game marketplace similar to Steam. Implemented backend services with Java, MySQL and Redis to support user registration, login, and shopping cart functionalities for purchasing games.

Medical RAG System

Contributor • Sep 2025 — Dec 2025 (Expected)

An ongoing Medical Retrieval-Augmented Generation (RAG) system utilizing OpenFDA drug labeling data, BioASQ tasks, and MIRAGE Benchmark datasets. The system is currently being designed to improve domain-specific retrieval and response generation for medical applications.

Programming Languages

Java, Python, JavaScript, TypeScript, C++, Go, R

Databases and Message Queue

MySQL, Redis, PostgreSQL, Kafka

Frameworks and DevOps

Spring Boot, React, Next.js, Node.js, Git, Docker, Kubernetes

AI Frameworks and Algorithms

PyTorch, TensorFlow, Machine Learning, Deep Learning, Reinforcement Learning, RAG, MCP, LLMs

• I'm a passionate Arsenal fan (COYG!) and really hope Arsenal can win the Premier League this season.
• Enjoy sports such as going to the gym and playing soccer to stay active and energized.
• Love playing Texas Hold'em poker and often watch Hustler Casino Live shows.