XIAOSU ZHOU
+1-217-***-**** *******.******@*****.***
PROFESSIONAL SUMMARY
AWS Certified Developer with expertise in cloud-native development, specializing in AWS microservices architecture and backend development. Proven track record in optimizing system performance and implementing scalable solutions using distributed resources. Strong technical communication skills evidenced through comprehensive documentation. EDUCATION
Illinois Institute of Technology August 2022 - May 2025 Master's, Computer Science
• Relevant Coursework: Software Systems Architecture, Database Organization, Cloud Computing University of Illinois - Urbana-Champaign August 2020 - December 2021 Master's, Architecture
• Earl Award
University of Oregon March 2016 - March 2020
Bachelor's, Applied Mathematics
CERTIFICATIONS
• AWS Certified Developer - Associate
• Walmart USA Advanced Software Engineering Virtual Experience PROFESSIONAL EXPERIENCE
Hairicheng Remote
Software Engineering Intern June 2024 - October 2024
• Achieved a 92% reduction in P99 latency by designing and implementing AWS serverless solutions with auto-scaling architecture capable of handling over 2000 transactions per second during a Cloud Migration Project at Hairicheng.
• Enhanced system scalability and cut operational costs by implementing a cost-effective event-driven architecture using AWS serverless solutions.
• Facilitated smooth transitions during the Cloud Migration Project by producing detailed technical documentation.
• Improved development processes by utilizing Git and Jenkins for version control and continuous integration within CI/CD pipelines in UNIX/Linux environments.
• Enhanced application performance and reliability by developing backend microservices and APIs using NodeJS and NoSQL databases, ensuring robust and scalable architecture.
PROJECTS & OUTSIDE EXPERIENCE
Student Data Classification Platform Chicago, IL, USA Lead Developer January 2024 - April 2024
• Achieved a 99% accuracy rate in automated data classification by implementing policy-as-code using Rego and leading an Agile team of four to develop an AWS-based classification service for sensitive student data.
• Reduced deployment time significantly by building a CI/CD pipeline with GitHub Actions, enhancing the software development life cycle efficiency for the classification service.
• Processed sensitive data for over 10,000 student records by leading a team to design and deploy a classification service utilizing Python and AWS technologies.
• Ensured on-time delivery for all major releases by providing leadership in project management and Agile methodologies.
• Enhanced the deployment process by utilizing GitHub Actions and Unix environments to build CI/CD pipelines, improving overall project efficiency.
SKILLS
Skills: Java, Python, Git, HTML/CSS, Operations Research, C/C++, CI/CD, AWS, java, aws, python, english, DynamoDB, project managment, CloudWatch, lambda, S3, SQS, step function, API Gateway, CI/CD, Git, Infrastructure as Code, SQL, NoSQL Languages: Chinese