Chong Shen

**** ****** ***** **, **********, New Jersey, 08854 P: +1-848-***-**** ad35be@r.postjobfree.com PROFILE SUMMARY

Results-driven software engineering professional with a proven track record of designing, developing, and implementing cutting-edge software solutions. Proficient in full software development life cycle, from concept to delivery. Expertise in coding, debugging, and troubleshooting complex applications. Adept at collaborating with cross-functional teams to deliver high-quality, scalable, and maintainable software solutions. Skilled in utilizing agile methodologies to streamline development processes and meet project deadlines. Strong problem-solving abilities and a commitment to delivering robust and efficient code. Seeking a challenging software engineer position to leverage technical acumen and contribute to innovative projects in a dynamic and collaborative environment. EDUCATION

RUTGERS UNIVERSITY-NEW BRUNSWICK, NEW BRUNSWICK, NJ Graduated Dec 2023 Master of Science in Computer Science GPA: 3.75/4.0

• Relevant Coursework: Artificial Intelligence, Massive Data Mining, Computational Robotics, Database Management Systems. RUTGERS UNIVERSITY-NEW BRUNSWICK, New Brunswick, NJ Graduated May 2018 Bachelor of Arts in Computer Science, Mathematics GPA: 3.23/4.0

• Relevant Coursework: Computer Architecture, Software Engineering, Data Structures and Algorithms, Probability, Linear Algebra AREA OF EXPERTISE

Software Development Full Stack Development Agile Methodologies Code Debugging System Architecture Cross-functional TECHNICAL SKILLS AND LANGUAGES

Technical Skills: Java Python HTML/CSS JavaScript R spring Spring Boot SpringMVC MyBatis SQL MongoDB git NodeJS MATLAB REST PowerShell Junit Mockito Maven Software: IntelliJ IDEA TensorFlow Eclipse Visual Studio Code PyCharm Linux R studio Languages: English Chinese

PROFESSIONAL EXPERIENCE

Software Engineer AvePoint, Changchun, Jilin, China Nov 2019 – Mar 2020

• Orchestrated successful migration of 16 TB of data by implementing a highly efficient data extraction tool, resulting in a 30% reduction in overall average latency compared to the legacy system.

• Developed and integrated a robust crash reporter for the data extraction process, strategically identifying and addressing the top 3 causes of system crashes, enhancing overall system stability.

• Collaborated seamlessly with cross-functional peers to enhance software performance, actively participating in the collective effort to analyze errors and implement improvements.

• Spearheaded the optimization of software performance through proactive collaboration with team members, resulting in enhanced overall system efficiency.

Artificial Intelligence Engineer Intern Uniquify, Inc. San Jose, CA Nov 2018 – Dec 2018

• Pioneered the research and implementation of state-of-the-art image compression and processing methods, optimizing digital content for improved visual quality and reduced storage footprint.

• Innovatively designed and constructed a sophisticated recommendation system, leveraging advanced algorithms to analyze user preferences and selections, resulting in a personalized and engaging movie recommendation experience.

• Spearheaded the development and integration of cutting-edge image compression and processing techniques, demonstrating a commitment to staying at the forefront of technological advancements in the field. PROJECTS

Food Ordering Services

• Engineered a robust backend web application with Spring Boot and MyBatis-Plus, optimizing user and dish management for a food ordering service.

• Architected RESTful APIs, fostering seamless communication between frontend and backend, enhancing the overall efficiency of the food ordering platform.

• Ensured system security through meticulous coding practices, incorporating comprehensive testing with JUnit and Mockito for a resilient food ordering solution.

Online Shopping Store

• Engineered a Restful JavaScript web app for an Online Shopping Store, incorporating user/seller management and product selling systems.

• Executed front-end development with HTML/CSS and back-end using NodeJS for seamless user experience.

• Employed AWS RDS as the database and deployed the project on AWS EC2, ensuring robust scalability and performance. USPS Digit Recognition

• Engineered SNN (Spiking Neural Network) from the ground up for USPS Digit Recognition, showcasing expertise in neural network implementation.

• Utilized backpropagation and stochastic gradient descent to train ANN (Artificial Neural Network) for precise digit recognition.

• Successfully converted ANN architecture into SNN, achieving a remarkable 92% accuracy rate in the USPS Digit Recognition project.