Theodore Vu - Software engineer

Theodore Vu

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Theodore Vu

Age

Gender

Male

Main expertise

Back-end Node.js Django Flask GraphQL PostgreSQL AWS Docker Angular API AWS Lambda Redis

Introduction

Theodore Vu brings over 5 years of experience in back-end web development, showcasing extensive expertise in programming, debugging, self-testing, and code review. His strong analytical and logical thinking skills facilitate a highly structured and efficient approach to problem-solving. Theodore is well-versed in Agile/Scrum-based development environments, ensuring timely delivery and top-quality project outcomes. Highly adaptable, he excels under pressure, maintaining focus and productivity in challenging situations. As a skilled communicator proficient in English, Theodore confidently engages directly with clients to gather requirements and discuss solutions. He has participated in numerous international projects across Australia, the US, India, Singapore, and Japan, effectively collaborating with developers and stakeholders to meet clients' expectations. Theodore Vu is a highly motivated and dedicated back-end web developer with the expertise to deliver exceptional results on complex development projects.

Project list

Paidy - Japan

Paidy is a Japanese 'Buy Now, Pay Later' online payment service designed for e-commerce websites.

Participate in the entire application lifecycle. Write effective APIs. Develop clean, functional back-end code. Ensure quality, responsiveness, and efficiency through well-tested software. Prepare technical documentation. Utilize cutting-edge technologies to enhance legacy applications. Work collaboratively with front-end developers to integrate user-facing elements with server-side logic. Identify and address technical and design requirements. Create reusable code and libraries for future use. Stay updated with emerging technologies. Assist team members in resolving technical problems.

Technologies: Django, Firebase, S3, EC2, ELB, ECS, Dynamo

Skywise ML Platform

The Skywise ML Platform is designed for customers in the Oil & Gas sector to work seamlessly with their machine learning models. It offers a marketplace feature where users can select models available on the platform for reference. Additionally, it includes a comprehensive training system pipeline to cater to their custom models and facilitates model inference processing.

Analyze and clarify the requirements. Implement features and APIs that interact with the database, following the CRUD paradigm, for various micro-services like projects, members, and Sagemaker Studio costs. Integrate the front-end with APIs to complete UI features, focusing on data binding, error handling, and CSS alignment based on requirements. Research the latest technologies and provide proposals to advise customers on the most appropriate solutions. Build the technical architecture and framework. Collaborate with testers to fix and verify bugs. Review code and resolve technical blockers with the team. Participate in Scrum ceremonies, including daily stand-ups for status reporting and weekly sprint demos and planning meetings.

Technologies: Flask, PostgreSQL, AWS, Docker, Jenkins

Healthcare Booking Platform - US

Healthcare Booking Platform is a solution for healthcare agents in the United States to efficiently manage their business operations, including handling organizations, locations, and patient data. The platform leverages microservices architecture to manage backend processes and various isolated information components.

Conduct meetings with stakeholders to gather business requirements and provide subsequent analysis. Work with the Product Owner (PO) to discuss and finalize requirements, technical approaches, and solution estimations. Analyze requirements and suggest solutions for developing new features and resolving bugs in existing features. Develop interfaces to handle frontend requests, manage database interactions (CRUD operations) for medical appointment bookings, and send email cron jobs. Monitor alerts, generate data reports on AWS, and assist others in handling urgent issues. Review code and implement refactoring after each development phase. Deploy the web application in Development and Staging Environments.

Technologies: Django Rest API, SQS, Redis, Celery, MySQL, AWS

Emissions Management Platform

The Emissions Management Platform is designed to provide comprehensive emissions calculation and visualization based on a customer's business needs. It allows customers to manage their projects, monitor data effectively, and develop emission reduction plans using visual data, while also storing key emission source information.

Implementing features and APIs using GraphQL and AWS Lambda to interact with databases and return results to the frontend, following the CRUD paradigm for microservices functionality such as querying and carbon calculation. Integrating the front-end with APIs to complete UI features, including data binding, error handling, and CSS alignment, based on requirements. Conducting self-research to implement best coding practices for improving project effectiveness and performance. Collaborating with testers to identify, debug, and fix issues, participating in code reviews. Preparing demos and guiding documents for end-users. Participating in Scrum ceremonies, including daily standups for status reporting and weekly sprint demos and planning meetings at the end of each sprint for presentation and preparation for the new sprint.

Technologies: FastAPI, GraphQL, NodeJs, Angular 10, PostgresQL, AWS, Jenkins, Docker, Nginx

Project list

Education

Expertise