Armin Ziaei

A dedicated professional with a strong commitment to tackling new challenges and a robust work ethic. Possesses adaptability and exceptional communication abilities. Capable of working autonomously with efficiency and rapidly acquiring new competencies.

IEEE, Student Member, 2017, 2019

• Linux LPIC-1
• The Data Scientist’s Toolbox
• R Programming

• Datadog Custom Metrics Automation (Fall 2023): Orchestrated the development of Datadog automation for generating custom metrics specifically for database-related queries using Python, and Datadog API.
• Ansible Automation (Fall 2023): Spearheaded the automation of system updates and patching processes utilizing Ansible.
• Ansible Playbook Automation (Spring 2023): Developed an innovative solution using Ansible Playbooks to automate the creation of task-specific playbooks for new servers, streamlining the processes for software installation and system patching.
• Datadog APM Analysis (Spring 2023): Conducted an in-depth analysis of Datadog Application Performance Monitoring (APM) utilizing machine learning models to predict usage trends and identify potential failures, thereby optimizing performance and reliability.
• Powershell Automation for Log File Management (Fall 2022): Developed sophisticated PowerShell automation scripts for daily deletion and compression of log files and disk cleanup. Utilized PowerShell version 4 to build custom functions and leveraged built-in functions in versions 5 and 6 to enhance the script's efficiency and effectiveness.
• System Usage Analysis (Fall 2021): Executed comprehensive system usage analysis applying machine learning algorithms on large-scale datasets, utilizing Python and scikit-learn to derive actionable insights and improve system performance.
• Large Scale Data Analysis and Data Engineering (Fall 2021): Implemented efficient algorithms for extensive data analysis and engineering on large-scale datasets, employing advanced tools and languages such as Python, Regex, .NET, and Shell for high-quality data processing and analysis.

HHAeXchange/github.com/armixz/Protocol-Design)

• Compiler Design (Fall 2022): Conducted extensive research and development of a comprehensive compiler, incorporating a lexical analyzer and the utilization of regular expressions. This endeavor was realized using Java, Bash, and Lex, contributing significantly to the field of compiler construction. (https://github.com/armixz/Compiler-Design-II)
• Task Manager Development (Spring 2022): Led the research and development of an SQL-based task manager, integrating MySQL, JavaScript, Vue.js, PHP, and Flask to create a versatile and efficient task management system. (https://github.com/armixz/Task-Manager-Development)
• Computer System Simulation (Spring 2022): Designed and executed a detailed simulation of CPU and memory processes using C/C++, demonstrating an intricate understanding of computer systems and their operations. (https://github.com/armixz/Computer-System-Simulation)
• Digit Recognizer (Fall 2021): Developed an advanced digit identification system for large-scale handwritten image datasets, employing Python and scikit-learn to enhance the accuracy and efficiency of digit recognition. (https://github.com/armixz/Digit-Recognizer)
• Machine Learning Algorithms Research and Development (Fall 2021): Undertook comprehensive research and development in various machine learning algorithms, focusing on the design and practical application of learning algorithms such as LR, KMeans, Gaussian, PCA, KNN, Logistic Regression, and Decision Trees. (https://github.com/armixz/Machine-Learning-Theory)
• AI-Knowledge-Representation (Fall 2021): Implemented a Knowledge Representation paradigm to create a sophisticated question-answering tool, showcasing the ability to encode and utilize knowledge effectively using Prolog and AI principles. (https://github.com/armixz/AI-Knowledge-Representation)
• 8 Puzzle Solver (Fall 2021): Designed a solution for the "8 Puzzle" challenge utilizing advanced AI algorithms, including A*, IDS, DFS, and BFS, demonstrating proficiency in problem-solving and algorithmic thinking. (https://github.com/armixz/8-Puzzle-Solver)
• ALU Design and Development (Fall 2020): Conducted in-depth research and development of a 32-bit Arithmetic Logic Unit (ALU), supporting 16 commands and utilizing Verilog HDL, VHDL, and System Verilog to enhance computational capabilities. (https://github.com/armixz/ALU-Design-and-Development)
• Chat System Development (Spring 2019): Developed a comprehensive TCP and UDP chat system employing C/C++ and Python languages in a Unix environment, focusing on real-time communication and network programming. (https://github.com/armixz/Chat-System-Development)
• Bash CLI Development (Fall 2018): Orchestrated the creation of a Bash Command Line Interface (CLI) application using C/C++ in a Unix environment, enhancing system interaction and user command processing.