frontend software engineer

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EDUCATION

University of Wisconsin, Madison

Bachelor of Science in Computer Science

May 2026

Wisconsin, United States

GPA: 4.0 / 4.0

Courses: Operating System, Advanced Database, Network, Data Structure & Algorithm, Deep Learning, Machine Learning, Big Data, Foundations of Mobile Systems and Applications, Digital and Computer Systems PROFESSIONAL EXPERIENCE

BBK Electronics

Software Development Engineering Intern (E-Learning Platform) May 2023 - Aug 2023

Jiangsu, China

Enhanced the UI of an online education platform using Vue.js and TailwindCSS, implementing adaptive rendering for PC and H5. Designed dashboards leveraging Chart.js and Vuex, boosting data visualization and operational fluidity Developed backend with Spring Boot, implementing modular architecture and RESTful APIs with Swagger. Optimized database interactions using JPA and DTO mapping, enabling high-performance querying and seamless integration Integrated Redis for caching frequent queries, implementing key-based expiration and pub/sub mechanisms, reducing database load 40%. Configured RabbitMQ with durable queues and retry logic for robust asynchronous task processing Designed CI/CD pipelines with Docker and Jenkins, automating builds and tests. Deployed containerized microservices to Kubernetes, utilizing Helm for rollout strategies and horizontal scaling to enhance deployment reliability Opinion Labs (Web3 Startup)

Blockchain and Web3 Development Intern (Contract Platform) Nov 2022 - Feb 2023

Hong Kong, China

Designed decentralized app interfaces using React and Chakra UI, incorporating Zustand for hierarchical state management and i18next for dynamic locale switching, enabling seamless multi-language support and adaptive usage Engineered scalable APIs with NestJS and Prisma ORM, optimizing query efficiency via pooling. Integrated WebSocket- based notifications and Redlock for multi-node distributed transaction locking, ensuring atomic blockchain operations Implemented PostgreSQL for transaction storage with index optimization and partitioning to enhance performance. Integrated Redis with TTL-based caching for frequent blockchain queries, ensuring consistency and reduced latency Automated CI/CD pipelines via GitHub Actions, implementing multi-environment deployments for dApps on AWS and Vercel. Configured Nginx with SSL termination and load balancing, optimizing latency and ensuring secure handling PROJECT EXPERIENCE

Cross-platform mall management system

Developer

Mar 2023 - Jul 2023

Wisconsin, United States

Designed an online storefront featuring product search, shopping cart, and order workflows. Integrated Elasticsearch with custom analyzers and query optimization, achieving sub-second response times and enhancing search relevance Developed modular management for products, orders, and promotions using SpringBoot and MyBatis. Integrated RabbitMQ for tasks and implemented Redis caching with expiration policies, improving session performance 12.5% Architected a hybrid database system with MySQL for relational data, MongoDB for hierarchical content, and Elasticsearch for full-text search and analytics, utilizing sharding and indexing to ensure scalability and flexibility Utilized Docker to containerize microservices, streamlining deployment and scaling. Configured multi-container orchestration for database, queue, and application layers, ensuring consistency and rapid iteration RESEARCH EXPERIENCE

LLM RAG Fine-tune - MadS&P Research Group

Research Assistant

Jan 2024 - Present

Wisconsin, United States

Developed an anti-bot crawler combining dynamic JavaScript rendering with CAPTCHA-solving via OCR. Designed universal extraction templates using XPath and CSS selectors, ensuring robust, scalable data collection for LLM training Designed a high-throughput pipeline leveraging multiprocessing and NumPy vectorization for parsing raw text. Integrated regex normalization and schema mapping algorithms, accelerating instruction-tuning dataset preprocessing by 20% Implemented Retrieval-Augmented Generation by embedding datasets with FAISS and cosine similarity. Fine-tuned Alpaca and Mistral using LoRA, optimizing instruction-following accuracy through adaptive query reformulation Advanced Driver Assistance System(ADAS) - Autonomous Interactive Mobile Systems Lab Research Assistant

Jan 2023 - Dec 2023

Hong Kong, China

Optimized XGBoost feature selection via L1-regularized gradient boosting and custom loss functions, isolating critical ADAS parameters. Enhanced importance scoring, boosting model interpretability and training efficiency by 15% Trained ADAS models with multi-objective linear regression, employing gradient optimization for balanced trade-offs. Integrated RMSE and R as evaluation metrics, using matplotlib and Seaborn to analyze residuals and refine accuracy Designed a Flask-based modular backend for integrating ADAS models into Carla simulations. Configured Docker with multi-stage builds and orchestration, enabling scalable, resource-efficient virtual testing for autonomous systems SKILLS LIST

Python, C/C#/C++, Java, SQL, GO, Flask, Node.js, Django, React.js, Spring Boot, Deep Learning, Machine Learning, Dingfu Lu

+1-608-***-**** 丨dlu73@wisc.edu

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