About me
Hi! My name is Nafiseh Valizadeh, and I am an Integration Intern at Ericsson and Graduate Researcher at McMaster University.
Hi! My name is Nafiseh Valizadeh, and I am an Integration Intern at Ericsson and Graduate Researcher at McMaster University.
Master of Science in Software Engineering
Sep 2022 - present
Bachelor of Engineering in Computer Engineering
Sep 2017 - April 2022
As an Integration Engineer Intern at Ericsson, I work within the Cloud Container Distribution Pre-provisioning (CCDPP) project, where I contribute to automation, and testing on production-ready Kubernetes clusters. My responsibilities include writing Ansible scripts for automated scaling, conducting continuous regression tests to ensure high availability and fault tolerance, and troubleshooting platform bugs. Additionally, I collaborate with cross-functional teams to enhance platform features, while refining my skills in Ansible, Kubernetes, and shell scripting.
Currently leading the development of an advanced performance model for Kubernetes, aimed at accurately simulating the behavior of diverse applications within a Kubernetes environment. This model, grounded in server queuing theory and scheduling algorithms, is designed to predict performance metrics such as response times under various load tests for applications with differing computational demands. Key objectives include refining the model to closely mirror the performance of an actual Kubernetes cluster. This involves extensive analysis and simulation to determine optimal configurations for specific performance goals. A significant application of this model is in guiding the configuration of Kubernetes clusters, particularly in determining the ideal number of nodes and pods to achieve desired performance levels. The model’s ability to predict the optimal ratio of pods per node is instrumental in enhancing cluster efficiency and resource utilization. I am currently supervised under guidance of Dr. Douglas Down.
Assisted in the design of a cloud infrastructure platform based on Kuberntes architecture. Involved in maintaining various project components, with key tasks including: Automating virtual machine deployment and cloud services using Ansible. Developing Molecule tests to validate infrastructure as code. Monitored the status of cloud and VPS services using Prometheus and Grafana. Developed Python and Shell scripts to automate the resolution of recurring server resource usage issues. Supported cross-functional teams, such as SEO in data management processes using Pandas and Python scripts.
Designed a capacity planning tool for suggesting the optimizaed number and configuration of VMs for a Cubic transportation company. Employed linear optimization Given the key performance indicators of each VM (throughput and response time) to suggest cost effective set of VMs for each application
Developed a microservice web application for food delivery using Spring Boot. The application comprises various services including food-provider, user-management, tracker, billing, and cart-management, all communicating through REST API and RabbitMQ. Initially designed based on Hexagonal Architecture principles, these components were effectively transformed into individual microservices
Designed an API management system to centralize the APIs of various companies, enhancing merchant accessibility to these services. The system’s architecture includes a Gateway for handling incoming requests, a developer portal for buyer access to purchased APIs, a repository for API records, and a monitoring component for continuous health checks through load testing. Implemented continuous performance tests using K6, an open-source testing tool, and monitored real-time data using Prometheus.
Developed a Spring Boot web application for a bookshop, facilitating book access management for users and enabling authors to publish their works. The project is structured on MVC architecture, with components (Book, Authentication, Search) communicating via REST API. Data storage is efficiently handled using a PostgreSQL database.
Developed a question-and-answer web application, akin to Stack Overflow, enabling users to post questions and provide answers. The project was architecturally designed using the MVT (Model-View-Template) framework in Django. Database models were meticulously crafted in conjunction with UML diagrams to ensure a robust and efficient structure.
Performance Analysis of Computer Systems - Winter 2024
Binding Theory to Practice - Fall 2023
Software Testing - Winter 2023
Computer Architecture - Winter 2022
Operating Systems Lab - Fall 2021