Pansy Phuc. - Software Engineer

Pansy Phuc.

4.8

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Pansy Phuc.

4.8

Gender

Male

Address

Ho Chi Minh city, Vietnam

Language

English - Beginner

Vietnamese - Native

Main expertise

Software Full-stack Python Node.js AWS AWS DevOps Azure Docker Kubernetes CI/CD API PostgreSQL

Introduction

Pansy Phuc is an experienced Software Engineer with eight years of expertise in developing scalable and high-performance web applications using Python and Node.js. Pansy is proficient in designing robust backend systems, creating RESTful APIs, and integrating complex databases. With a strong background in agile methodologies and collaborative team environments, Pansy demonstrates an adeptness at solving complex problems and is committed to continuous learning and innovation. Pansy seeks to leverage his skills to contribute to cutting-edge projects and drive technological advancements.

Project list

E-commerce Platform Development

2021

Led the creation of a robust e-commerce platform, building both backend and frontend systems. Developed RESTful APIs using Django for managing product listings, user authentication, and order handling. Built a responsive and interactive user interface with React, improving user experience. Integrated PostgreSQL for efficient data management. Utilized AWS services such as EC2, S3, and RDS for high availability and scalability. Established CI/CD pipelines with GitHub Actions to automate testing and deployment, enhancing development workflows.

Led the development of a scalable e-commerce platform, implementing both backend and frontend functionalities. Designed and developed RESTful APIs using Django to handle product listings, user authentication, and order processing. Utilized React for creating a responsive and interactive user interface, enhancing user experience and engagement. Integrated PostgreSQL for reliable data storage and efficient data retrieval. Deployed the application on AWS, leveraging services like EC2, S3, and RDS to ensure high availability and scalability. Implemented CI/CD pipelines using GitHub Actions, automating testing and deployment processes to streamline development workflows.

Technologies: Python, Django, React, PostgreSQL, AWS

E-Commerce Platform Recommendation System

2019 - 2021

Created a system to provide personalized product recommendations for users on an e-commerce platform.

Designed and implemented backend services using Django to handle user data and product information. Developed machine learning models using scikit-learn to analyze user behavior and generate personalized recommendations. Created efficient data pipelines with Pandas to preprocess and clean data from various sources. Integrated PostgreSQL for reliable and scalable data storage. Built responsive and interactive frontend interfaces using React.js, ensuring seamless user experiences.

Technologies: Python, Django, Pandas, scikit-learn, PostgreSQL, React.js

Predictive Maintenance System for Manufacturing Equipment

2017 - 2019

This project involves developing a system to predict equipment failures, aiming to minimize downtime in a manufacturing facility.

Collected and analyzed sensor data from manufacturing equipment to identify patterns leading to failures. Built machine learning models using TensorFlow to predict equipment breakdowns based on historical data. Created data pipelines using Pandas and NumPy to preprocess and clean the sensor data. Developed a Flask-based web interface for monitoring equipment health and receiving maintenance alerts.

Technologies: Python, TensorFlow, Pandas, NumPy, Flask, MySQL

Backend Software Development

2016 - 2017

Led the design and development of backend systems using Node.js and Python, ensuring seamless support for multiple front-end applications. Optimized database performance through efficient SQL queries and schema design. Enhanced security by implementing robust authentication and authorization mechanisms. Developed web services using Flask and Express.js frameworks, and ensured their reliability and performance through rigorous unit and integration testing. Collaborated effectively with product managers and designers to translate requirements into precise technical specifications.

Designed and implemented backend systems using Node.js and Python, supporting various front-end applications. Developed and optimized SQL queries and database schemas, ensuring efficient data storage and retrieval. Implemented authentication and authorization mechanisms to secure APIs and protect user data. Utilized Flask and Express.js frameworks to build and maintain web services. Conducted unit testing and integration testing to ensure the reliability and performance of backend services. Collaborated with product managers and designers to translate requirements into technical specifications.

Technologies: Node.js, Python, Flask, Express.js, SQL, MongoDB, AWS, Azure, Docker, Kubernetes, Jenkins, GitLab CI, GitHub Actions, Git, GitHub, Bitbucket, Terraform, Swagger, Postman, ESLint, Pylint, Elasticsearch, Logstash, Kibana, Scrum, Kanban

Backend Software Engineering Project

2017 - 2018

In this project, backend services were developed and maintained using Python and Node.js with a strong focus on scalability and security. The integration of both SQL and NoSQL databases, including MySQL and MongoDB, was undertaken to accommodate diverse data requirements. Additionally, API documentation was created and maintained to ensure seamless communication between front-end and back-end teams. CI/CD pipelines were implemented using Jenkins and GitLab CI, automating testing and deployment processes. Code reviews and pair programming sessions were conducted to maintain high-quality code standards. Collaboratively worked with DevOps teams to deploy applications to AWS and Azure cloud platforms.

Developed and maintained backend services using Python and Node.js, focusing on scalability and security. Integrated SQL and NoSQL databases, including MySQL and MongoDB, to handle diverse data requirements. Created and maintained API documentation, ensuring seamless communication between front-end and back-end teams. Implemented CI/CD pipelines using Jenkins and GitLab CI, automating testing and deployment processes. Conducted code reviews and participated in pair programming sessions to maintain high code quality. Worked closely with DevOps teams to deploy applications to AWS and Azure cloud platforms.

Technologies: Python, Node.js, MySQL, MongoDB, Jenkins, GitLab CI, AWS, Azure, Docker, Kubernetes, Git, GitHub, Bitbucket, Terraform, Swagger, Postman, ESLint, Pylint, Elasticsearch, Logstash, Kibana, Scrum, Kanban

Project list

Education

Expertise