Software Developer Intern

Noah Kabiri

****.******@*****.*** 571-***-**** Springfield, VA

WORK EXPERIENCE

Seamless Migration Feb. 2024 – Present

Software Developer Intern Denver, CO

Seamless Migration enables businesses and organizations through automation

Architected Scheduled Jobs engine in Kotlin/Spring Boot, automating background data workflows and engineered role-based access controls for sensitive data

Collaborated with senior developers to design and implement new application features, developing UI/UX features like configurable modal interfaces for workflow automation

Participated in Agile ceremonies (daily standups, sprint planning, retrospectives), collaborating with cross-functional teams to ensure timely delivery of features and alignment with project goals. Thomas Jefferson High School for Science & Technology, CSL Jun. 2022 – Jun. 2024 Co-Lead System Administrator Jun, 2023 – Jun, 2024 Alexandria, VA

Managed sensitive student and staff information, ensuring data privacy and compliance with security protocols such as FERPA, through secure access controls, encryption, and regular audits of system activity.

Led the development and management of the intranet and server room infrastructure, ensuring optimal performance, security, and accessibility for all users. Junior System Administrator Jun, 2022– Jun, 2023

Prior to my promotion to Co-Lead System Administrator, I assisted in the administration of server infrastructure, including user management, system monitoring to ensure optimal performance and security. EDUCATION 3.69 GPA

George Mason University Aug. 2024 - Current

Bachelor of Science, Computer Science Fairfax, VA

GPA: 3.77/4.0

Thomas Jefferson High School for Science & Technology Jun, 2024 SKILLS

Skills : Full Stack Software Development; System Administration; ServiceNow; Source and Version Control; AGILE Methodologies; Programming Languages: Proficient in Kotlin, JavaScript, Java, Python, C, C++; Frameworks: Experienced with Spring Boot, Django, Express, Flask, Alpine.js, Tailwind CSS; GraalVM; Computer Vision: OpenCV; Artificial Intelligence: TensorFlow, Keras, Scikit-Learn; RDBMS Development: Proficient in SQL and relational database management; R Studio; Teamwork and Collaboration PROJECTS

Complex Knitting Pattern Identification ML

Developed a machine learning model using computer vision and a convolutional neural network with TensorFlow and Keras to identify and classify intricate knitting patterns, enhancing pattern recognition accuracy and providing insights for designers.

o Achieved an accuracy of up to 65.62% with about 1,900 different classifications and trained on 2,400 unique images

Heart Disease Risk Prediction Clustering Model

Built a heart disease risk prediction model using K-means clustering and a dataset sourced from the NIH, incorporating in-person oximeter data, and leveraging R Studio to identify correlations between key risk factors through a linear regression model, enabling segmentation of high-risk groups for targeted healthcare interventions

o Won 1st place in the biotech competition at the HackTJ hackathon for this project.

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