Highly analytical and results-driven Software Engineer with a Master's in Computer Science, specializing in full-stack development and machine learning. Proven ability to deliver robust solutions, optimize system performance, and drive innovation, as demonstrated through impactful projects and an internship at Huawei. Eager to leverage expertise in distributed systems and advanced algorithms to develop cutting-edge software solutions.
Shenzhen, Guangdong, China
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Summary
Contributed to the development and optimization of Huawei's cloud security platform, focusing on backend API development, frontend integration, and database performance enhancements within an agile environment.
Highlights
Developed and implemented a critical new feature for the cloud security platform using Java and Spring Boot, enhancing system functionality and user experience.
Designed and integrated robust RESTful APIs, facilitating seamless communication between backend services and the Vue.js-based frontend.
Actively participated in agile development sprints and conducted thorough code reviews, ensuring high-quality code and adherence to best practices.
Optimized complex database queries, successfully reducing data retrieval latency by 15% and improving overall platform responsiveness.
Nanjing, Jiangsu, China
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Summary
Conducted advanced research on deep learning models for image recognition, contributing to academic publications and achieving significant accuracy improvements on specialized datasets.
Highlights
Researched and developed innovative deep learning models, specifically Convolutional Neural Networks (CNNs), for advanced image recognition tasks using TensorFlow and Python.
Successfully achieved a 90% accuracy rate on a specific image dataset, demonstrating strong model performance and validation of research methodologies.
Authored and presented a research paper at a domestic conference, contributing to the academic community and showcasing expertise in AI.
Collaborated with senior researchers to analyze experimental results and refine model architectures, enhancing the overall research project's impact.
Published by
Domestic AI Conference Proceedings
Summary
Presented research on Convolutional Neural Networks (CNNs) for image recognition, detailing methodologies and achieving significant accuracy improvements.
MongoDB, MySQL, PostgreSQL.
Docker, Git, AWS, Kubernetes, Linux.
Python, Java, JavaScript, C++, Go.
Spring Boot, React, Node.js, Express, TensorFlow, PyTorch, Vue.js, Django, NLTK.
Data Structures, Algorithms, Object-Oriented Programming, RESTful APIs, Microservices, Machine Learning, Deep Learning, Natural Language Processing (NLP), Cloud Computing, Agile Development, Code Review.
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Summary
Developed a full-stack e-commerce platform featuring robust user authentication, a comprehensive product catalog, a functional shopping cart, and a secure payment gateway.
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Summary
Engineered an AI-powered chatbot designed to efficiently handle customer inquiries using natural language processing (NLP) and a custom knowledge base.