Software Engineer - AI Robotics Researcher - ML/Systems Intern

Yan Yu

Los Angeles +1-945******* ******@****.*** Website: https://hyyydu.github.io/Introduction/#contact EDUCATION

University of California, Santa Barbara Santa Barbara Bachelor of Applied Math (B.S.), GPA: 3.8/4.0, Dean's Honor 06/2022 - 09/2025 University of California, Los Angeles Los Angeles Master of Engineering in Computer Science, GPA: N/4.0, Department Scholarship 09/2025 - 01/2027 PROFESSIONAL EXPERIENCE

INNOVA AI Tech LLC Remote, United States

Software Engineering Intern June 2025 - September 2025

Collaborated with engineers designing modular AI agent platform built with LangChain, OpenAI GPT, FastAPI following SDLC.

Implemented retrieval-augmented generation pipelines with Milvus optimizing queries, achieving top-3 recall with 92%-95%.

Developed backend microservices with FastAPI and Redis Stack managing sessions and real-time retrieval through RESTful APIs.

Integrated external APIs including Slack for task automation, which auto-handle 72%-78% routine request.

Deployed services on AWS EC2 with Docker containers enabling scalable infrastructure and consistent development environments. RESEARCH EXPERIENCE

Human-AI Integration Lab Santa Barbara, California Research Assistant January 2024 - September 2025

Designed LSTM/CNN hybrid model replicating hand movement using MyoDex sensor data enabling human-robot motion learning.

Built 3D visualization modules in Open3D and Unity mapping spatial motion data in real-time for experiments.

Collaborated with team prototyping intuitive visualization interfaces with Matplotlib improving model interpretability and user control.

Implemented C++ multithreading for motion feedback optimizing data preprocessing pipelines with NumPy reducing latency by 20%.

Stored experimental data in PostgreSQL with indexed tables enabling efficient historical queries and motion pattern analysis. Media Skill Lab Santa Barbara, California

Research Assistant February 2024 - September 2025

Engineered data collection system using Python and BeautifulSoup scraping nearly 5K political posts daily automatically.

Designed SQL schema and indexing for efficient query execution reducing average retrieval time by 40% significantly.

Created interactive dashboards using D3.js and React visualizing analysis results with responsive frontend design patterns.

Conducted NLP sentiment analysis with scikit-learn achieving 87% accuracy classifying political discourse sentiment categories.

Deployed application on AWS EC2 with Docker containers and CI/CD pipeline automating testing and deployment workflows. PROJECTS

Distributed Task Scheduling System June 2024 - September 2024

Developed microservices architecture with Spring Boot handling thousands of concurrent task requests daily with high throughput.

Implemented distributed message queue using RabbitMQ and Redis caching reducing database load by 50% during peaks.

Engineered CI/CD pipeline with Jenkins and Docker achieving 90% test coverage with JUnit ensuring production reliability.

Deployed services on AWS EKS with Kubernetes autoscaling handling variable workload patterns ensuring consistent performance levels.

Stored task metadata in PostgreSQL with partitioning strategies enabling efficient queries and historical task tracking workflows. Echotale-AI Reading Application SwiftUI June 2025 - September 2025

Designed and built an AI reading application featuring iOS client built with SwiftUI, successfully uploaded on Apple store.

Integrated AI-generated voice narration and personalized recommendations improving engagement and accessibility for users significantly.

Implemented automated testing and CI/CD deployment via GitHub Actions ensuring consistent build quality to production environments. Holdless-AI Costumer Service Call Website TypeScript September 2025 - December 2025

Built a real-time AI voice agent system for automated customer service calls using GPT-4o Realtime and Twilio telephony.

Developed a live monitoring dashboard with streaming transcripts and call analytics via WebSockets..

Designed and implemented production-ready full-stack application with modern tech stack (Next.js, TypeScript, Express.js) and cloud deployment configurations, ensuring scalability and maintainability. TECHNICAL SKILLS

Programming Languages: Python, Java, C++, TypeScript, SwiftUI, SQL Backend & APIs: FastAPI, Flask, Spring Boot, Node.js, RESTful APIs, Swagger Cloud & Infrastructure: AWS (EC2, EKS, S3, Lambda, API Gateway), Docker, Kubernetes, Terraform Databases & Caching: PostgreSQL, MySQL, Redis, Milvus Vector DB ML & AI: PyTorch, TensorFlow, scikit-learn, LangChain, OpenAI GPT, LSTM, CNN, NLP Tools & DevOps: Git, Jenkins, GitHub Actions, CI/CD, Agile/Scrum, JUnit, RabbitMQ, Kafka

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