
Aiden Horan
Software Quality Assurance Intern

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About me
Employed at M47 Labs in Barcelona | Language Engineer | Queens Computer Engineering - ECEi Graduate
Education

Queen's University - Faculty of Engineering and Applied Science
2018 - 2023Bachelor of Engineering - BE Computer Engineering and Innovation StreamActivities and Societies: Member and manager of the AI sub team for the Queens Robomaster design team. Founder and president of Queens Quantum Computing Club. Writer for the Golden Words satirical newspaper on campus Distribution Manager at Golden Words Co-founder of start-up Ufit
Experience

Clearbridge Mobile
Jun 2018 - Aug 2018Software Quality Assurance InternI worked as a full-time Intern in quality assurance for app development. During my time here I had to learn on the job while dealing with multiple projects at a time. Acted as the lead in meetings and was in direct communication with clients on specific projects.

Queen's University - Faculty of Engineering and Applied Science
Sept 2018 - Apr 2023Student
Clearbridge Mobile
May 2019 - Aug 2019QA TesterWorked on manual testing of applications for apps like Dynacare and RSN as well as being co-lead in starting the automated testing process at Clearbridge. Wrote automation scripts for almost 100 different test cases on android and ios devices.

L3Harris Technologies
May 2021 - Aug 2022Full-stack Developer for Firmware DevOpsThe majority of my internship here I worked on leading the development and maintenance of a web application used by firmware and software teams within L3Harris Wescam. I was in charge of designing and implementing new updates to the application. In my internship I was also tasked with creating smaller tools to be run within the terminal with shell scripting. As my internship progressed I lead the design and development of a new web application that was to be added to the existing ecosystem. As i finished my internship my main task was in training and assisting the next intern to take over my position. Show less

PAIM AI
Oct 2023 - Apr 2024Technical LeadI co-founded a startup named PAIM AI, where I served as the Technical Lead. In this capacity, I designed a product architecture that yielded an annual savings of $60,000 for small business owners. In developing this product I was able to significantly enhance my expertise in integrating software solutions with large language models (LLMs). The solution was presented in the Archangel's Den pitch competition where it was placed 3rd.

M47 Labs
Feb 2024 - nowLanguage EngineerWhile in this role I was contracted out to a trillion dollar company where I assisted in the development of their voice assistant AI. Additionally I spearheaded the development of an Automatic Dialect Identifier AI to recognize and classify English dialects accurately at the sentence level for this company. This project has sharpened my skills in natural language processing and has taught me how to seamlessly integrate complex ML models into user-focused applications.
Licenses & Certifications
- View certificate

Python
TestDomeJul 2023 - View certificate

PHP Essential Training
LinkedInMar 2020 - View certificate

Introduction to CSS
LinkedInFeb 2020 - View certificate

Data Science: Transformers for Natural Language Processing
UdemyMay 2025 - View certificate

HTML Essential Training
LinkedInMay 2020 - View certificate

Programming Foundations: Web Security
LinkedInFeb 2020 - View certificate

PHP with MySQL Essential Training: 1 The Basics
LinkedInMar 2020 - View certificate

HTML Essential Training
LinkedInFeb 2020 - View certificate

JavaScript Essential Training
LinkedInFeb 2020 - View certificate

Programming Foundations: Databases
LinkedInFeb 2020
Honors & Awards
- Awarded to Aiden Horan3rd place achievement in Queen's IEEE Student Project Competition IEEE Kingston Section Apr 2023 This achievement was awarded for the work done on my Local Speaker Identification and Speech Transcription AI capstone project. The award was decided through the combination of a one page abstract, a 10 minute presentation and a demo of the final product. The project itself was an Web app tool that could be used to identify speakers through a single microphone, transcribe their speech and display it to the users.
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