Arian Qoshi
248-854-3165 | qoshiarian@gmail.com
Skills
- Python | Java | JavaScript | Shell Scripting (Bash) | C++ | C | MySQL | JUnit | CodeSonar | Infer | React | NoSQL
- Git | Dynatrace | Cassandra | Cloud Computing | GCP (Google Cloud Platform) | AWS (Amazon Web Services)
- WCNP (Walmart Cloud Native Platform) | OOP | CI/CD | Numpy | Kafka | Spring Framework | Unit Testing
- Blockchain | REST APIs | Frontend | Backend | Full-Stack | Agile Methodologies
Experience
Software Engineer Intern - Walmart Global Tech - Bentonville, AK 05/2023 - 08/2023
- Implemented an automated performance monitoring tool using Dynatrace for the compliance department APIs, eliminating the need for
manual observation through logs and providing real-time alerts and notifications in the item catalog compliance system.
- Monitored crucial metrics, including server host health, server-side/queue response times, and number of calls to the database.
- Developed a Spring Boot method to accurately determine the hazardous status of items, achieving a 98% accuracy rate and
successfully reduced false positives and negatives to less than 5%, using a test suite of over 50 million hazardous items.
- Collaborated with cross-functional teams to create integration test cases using Kafka and JUnit for the Compliance Rules API, resulting in
93% code coverage over 5,000 lines.
Front End Development Intern - CleanKonnect - Remote 06/2022 - 08/2022
- Enhanced CleanKonnect website functionality by integrating applications for efficient NIL partnership processing such as search bars,
animated infographics, and athlete-type filtering, attaining a 17% increase in user engagement and conversion rate.
- Resolved critical front-end issues on the CleanKonnect website, including pop-up errors, web inaccessibility of forms/links, and
unresponsive content, leading to a 30% reduction in user-reported errors.
Information Technology Intern - Wayne State University - Detroit, MI 09/2021 - 12/2021
- Oversaw Help Desk Operations at Wayne State, ensuring smooth functioning of systems and promptly correcting issues by collaborating
with the Support Team.
- Provided comprehensive support for Professional Programs, efficiently addressing diverse technological needs and setting up software
and hardware across academic buildings.
Education
Bachelor of Science University of Michigan Ann Arbor, MI - Expected 04/2024
- Major in Computer Science & Engineering
- Relevant Coursework: Computer Vision/Machine Learning, Data Structures & Algorithms, Theory of Computation, Software Engineering, Computer
Organization, Web Design & Accessibility, Web Systems, Operating Systems
Projects
- Open Source Contribution: Contributed to the development of OMRChecker, an open-source OMR checking software, by resolving
a critical issue in the codebase. (04/2023)
- Mutation Testing Algorithm: Created mutate.py, a Python program for efficient mutation testing of Python source code,
showcasing Python proficiency, mutation testing skills, and aiding in robustness testing and vulnerability identification. (04/2023)
- Blockchain Simulator: Developed a blockchain security operations simulator for cryptocurrencies that ensures the integrity of
transactions to demonstrate the robust security of the blockchain. (02/2022)
- NFTs Explained Website: Independently engineered a custom-coded NFT website with HTML & CSS, incorporating animated
images, accessible links, and an informative FAQ page to educate individuals about non-fungible tokens and cryptocurrency. (12/2021)
- Project Mackenzie: Designed a C++ machine learning chatbot for university support, accompanied by an HTML & CSS website
highlighting the chatbot and team members. (08/2021)
Achievements
- Dean’s Honor List: Awarded by the University of Michigan for maintaining a high term GPA. (04/2023)
- AANO Scholarship: Recognized by the Albanian American National Organization for demonstrating exceptional dedication and
achievement in academic pursuits and exhibiting strong potential for future career success. (07/2023)
Certificates
- Machine Learning with Python: Learned machine learning in Python for powerful predictive models. (03/2023)
- Complete React Development Guide: Built an interactive web app with React for a seamless user experience. (01/2023)
- GUI Application Creation with C++ & Qt: Created a visually appealing desktop app using C++ and Qt. (10/2022)
- Applied Data Science with Python: Analyzed complex datasets and developed data-driven solutions with Python. (04/2021)