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Software Engineering Machine Learning

Location:
Milpitas, CA
Posted:
October 12, 2023

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Resume:

Rong Zhang

1-408-***-**** ad0bzh@r.postjobfree.com

SUMMARY

Computer science graduate with a strong passion for software engineering and a desire to contribute to innovative projects. I am eager to apply my knowledge and problem-solving abilities to develop robust and efficient software solutions. With a solid foundation in computer science principles and a track record of academic excellence, I am ready to embark on a rewarding career in software engineering.

EDUCATION

Arizona State University January 2021 - May 2023

Master of Computer Science 3.85 GPA

Relevant Courses: Software Project, Process and Quality Management, Mobile Computing, Data Processing at Scale, Advanced Software Analysis and Design, Engineering Blockchain Applications, Knowledge Representation and Reasoning, Distributed and Multiprocessor Operating Systems, Intro to Deep Learning in Visual Computing, Data Mining, Statistical Machine Learning, Principle of programming language, Data Abstraction and Structures, Operating System Concept, etc. TECHNICAL SKILLS

Programming languages: Python, Java, JavaScript, C/C++, HTML5/CSS, Unix/Linux, SQL, Spring boot, Flask, Scala, Spark. Front-end: HTML5, CSS, Bootstrap, jQuery, Angular. OS, tool, database: Unix/Linux, MySQL, MongoDB, PostgreSQL, Git. Certifications: Certificate of achievement-Advanced in Systems Programming. ACADEMIC PROJECTS

Built an E-commerce Web Application (Personal Project) Summer 2023

Full-Stack Development: Creating a scalable Spring Boot backend with HTTPS integration for secure communication. Simultaneously, designed and implemented an intuitive, responsive user interface using HTML, Bootstrap, and Angular. The frontend ensured a seamless user experience, while the backend leveraged RESTful APIs for integration, and securely incorporated Stripe for payment processing.

Security Proficiency: Implemented robust user authentication and authorization mechanisms using Spring Security and Okta, ensuring data protection and privacy.

Feature Engineering: Took charge of the development of critical e-commerce functionalities, encompassing search, authentication, cart management, and order tracking, enhancing overall platform functionality. Built and performed operations on SQL and No-SQL database. Fall 2022

Designed a movie recommendation database using Python and PostgreSQL, with query operations and data partitioning based on movie ratings.

Utilized Python and the Uniqlite library for transformations and actions on a No-SQL database.

Conducted hot zone and hot cell analysis on a large geographic database, containing real-time customer locations for a renowned taxi company, using Apache Spark-SQL and Scala. Built Android BMI Calculator App Using API Call Summer 2022

Developed BMI Calculator Web Services in C# and Visual Studio, including both REST and SOAP versions.

Created an ASP.NET client application within the same environment for testing these services.

Implemented MVC architecture in Java to design an Android mobile app for calculating and displaying BMI values.

Utilized a web API to calculate BMI and present results to users, allowing input for height and weight, displaying BMI, analysis messages, and educational content.

Implemented and Examined of Statistic Machines Learning Techniques Fall 2021

Implementation data density estimation and classification using Naive Bayes Classifier using python.

Implementation and examine K-means algorithm using Python to make classification with given datasets.

Utilized Neural Networks and Deep Learning techniques for data classification, deploying the application in Python. Simulated a Distributed Banking System Spring 2021

Established Connections Between Bank Customers and Branches: Developed a communication system using Python processes and gRPC API, adopting a client-server architecture with customers as clients and branches as servers.

Implemented Lamport's Logical Clock Algorithm: Utilized Lamport's logical clock algorithm to accurately record the chronological order of execution events within each branch process in Python. Additionally, recorded the order of request events initiated by customers.

Constructed a Client-Centric Consistency Model: Expanded the functionality of key interfaces within the distributed banking system using Python, enhancing consistency policies. This involved enforcing monotonic writes and ensuring read-your-writes consistency, resulting in a more robust system.



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