Haozheng(Chuck) Liang

Developed RAG pipelines (Python, vector databases, text embeddings) and an MCP server for the LLM assistant, improving user retention and accelerating creator skill progression. Built full-stack, data-driven platforms for TikTok Effect House, including real-time leaderboards, analytics dashboards, and content management systems using React, Go, Redis, MySQL, and ClickHouse. Delivered high-performance frontend experiences using React, TypeScript, Redux, SSR/CSR, and SEO optimizations to boost discoverability and creator engagement. Built TTEH learning resources, documentation systems, and guidance workflows that improved Effect Designer onboarding and supported creator growth. Designed internal automation tools and operational platforms that improved workflow efficiency by over 50%. Enhanced engineering velocity by strengthening DevOps pipelines, CI/CD automation, A/B testing infrastructure, and leveraging AI-assisted development.

• Maintained front-end application stability and test functional features for an early-stage startup. • Performed unit testing with jest to increase test coverage of front-end system from 0% to 40%. • Increased back-end API test coverage to 40% with pytest on the back-end RESTful API.

• Website: https://achordlessons.com • Developed a platform for students to schedule classes and chat with music teachers for a startup. • Created a 4-page front-end UI with JavaScript and React based on the design in Figma. • Increased delivery efficiency by 100% with GitHub Action to automate the CI/CD process. • Increased 40% subscriptions by Integrating Stripe API for teacher subscription payment.

1. In class, helped students understand the concepts and methods taught in class. 2. Graded student assignments.

• Processed and cleaned 200 GB Freebase dataset . • Used cluster algorithm to partition 200 GB Freebase dataset into multiple clusters to use less RAM when training. • Enabled the speedup of training models using GPU computing in C++ ArrayFile. • Achieved knowledge semantic representation enhanced by textual descriptions to improve the performance of link prediction model

1. Assisted task assigning during design phase of the new microservice system. 2. Tested Java backend and understand microservice architecture 3. Assisted and tooked note on weekly standup meeting.