evarretta.luke@gmail.com ResumeI am a recent graduate with a Bachelor of Science in Computer Science, eager to launch my career in the tech industry. Throughout my academic journey,
I built a strong foundation in programming, software development, and problem-solving through a combination of rigorous coursework, collaborative academic projects, and personal initiatives.
My experience includes working with various programming languages and technologies, developing both individual and team-based projects, and dedicating time to independent learning to stay current with industry trends.
I am passionate about applying the knowledge and skills I have gained to real-world challenges, and I am actively seeking opportunities where I can contribute, learn from experienced professionals, and make a meaningful impact.
A platform displaying current NBA player statistics for today. Automated web scraping, using GitHub actions, is employed to gather data.GIT, HTML, CSS, JS, Scrapy
A personal assistant device named "May". Designed to emulate similar devices such as Apple HomePod (Siri) and Amazon Echo (Alexa).C++, Arduino, OpenAI, Flask, Nginx
A web-based AI study assistant that allows students to input documents or YouTube URL, receive simplified explanations, automatically generate flashcards for key terms, and create custom quizzes for self-assessment.
Django, React, Ollama, all-MiniLM-L6-v2
A personal finance web app that allows users to track transactions, set and manage budgets, and receive AI-powered insights to improve financial decisions.Django, React, Anthropic, OpenAI
A Bachelor of Science in Computer Science (BSCS) builds a strong foundation in programming, algorithms, data structures, and computer systems, covering software engineering, databases, artificial intelligence, and networking. Through theory and projects, students gain proficiency in languages like Python and Java, design efficient software, and develop problem-solving, critical thinking, and communication skills. The degree prepares graduates for diverse tech roles and equips them to adapt to the rapidly evolving industry.
This badge earner has learned and displayed both fundamental IBM Z skills and understands IBM Z concepts. This individual is able to perform everyday tasks in an IBM Z environment, including administering data sets, formulating commands, managing JCL, scripting actions in USS (Unix System Services), writing and debugging Python, and orchestrating actions through IBM Z Open Automation Utilities.
This badge earner can solve advanced IBM Z problems by thinking critically and applying information from a wide variety of sources. They have orchestrated system activities using Ansible and Zowe, while working in Docker containerized environments. The earner has also demonstrated key IBM Z skills, including REXX, COBOL, VSAM, and TSO.
This credential earner has a breadth of knowledge on IBM Z and is able to think critically across multiple different IBM Z skills. They have earned their IBM Z Xplore Concepts and Advanced badges and have navigated system activities using VS Code and Zowe, 3270 terminal, and LinuxONE environments. The earner has demonstrated key IBM Z skills including TSO, JCL, RACF, SDSF, DFSMS, SMP, Db2, and Linux.
The earner has gained a solid foundation in software development, exploring key industry roles, workflows, and methodologies like Agile, Scrum, and Kanban. They have learned Python fundamentals, UML for developer communication, and web development with HTML, CSS, and JavaScript.
The Introduction to AI badge prepares earners for foundational literacy in these technologies and introduces them to workforce applications. Earners can identify the basic principles and concepts of artificial intelligence; recognize various forms of AI; list examples of the application of AI technologies in a variety of organizational contexts; identify ethical issues and principles related to the development and deployment of AI; and demonstrate the ability to apply ethical thinking to challenges posed by AI
Earners of this badge have completed the Machine Learning Foundations training and achieved the required scores on the post-course assessment. They have demonstrated the ability to discuss the fundamental concepts of machine learning and how to apply the machine learning pipeline to solve a business problem.
I earned a badge for mastering generative AI fundamentals, including its history, real-world applications, and ethical impacts. Using AWS tools, I explored AI and machine learning basics, large language models, and prompt engineering. This program strengthened my understanding of AI vs. ML and responsible AI use, helping me apply these skills in practical scenarios.
Luke Evarretta 
