Welcome! I'm Kisanet

I’m a tech enthusiast driven by the challenge of solving complex problems and creating innovative solutions

I’m a rising junior (class of 2026) at Swarthmore College, majoring in Computer Science and Economics. I am passionate about learning new technologies and aspire to create impactful solutions. I am committed to continuous learning, growth, and innovation, with a drive to make a meaningful difference

Past experience

Software Engineering Intern, Dotdash Meredith, June 2024 - Present

● Enhanced editorial operations by developing and testing Vue.js features that automated processes for 40 brands, resolved critical bugs to improve UX and code quality, and managed the software lifecycle for key tickets from design to deployment. ● Collaborated with product management and development teams to define user requirements, and actively participated in Scrum/Agile practices

Technical Support Intern, Information Technology Office, May. 2023 - Aug. 2023

● Installed 20+ new college computers by performing data transfers of personal files, installing college-licensed software and data backup system, and connecting to wifi and printers ● Imaged 50+ computers by downloading the latest operating system and connecting to Swarthmore’s domain ● Troubleshooting hardware/software-related issues, network, web browser, and mobile device-related issues.

Computer Science TA, Microsoft TEAL Program, Sep 2024 - May. 2025

● Enhance student comprehension of CS concepts by providing guidance and resources in breakout rooms ● Collaborate with teaching staff to design and deliver lessons that empower students to code in Python

Machine Learning/Artifical Intelligence Fellow, AI4ALL Ignite Program, Sep. 2024 - Feb 2025

● Spearheading the development of a NLP-driven, AI solution within a team of 3 in a 20-week AI/ML accelerator collaborating with industry mentors and presenting at an AI symposium ● Gaining hands-on experience with workshops in data sourcing and visualization, feature engineering, ML models, model training and deployment, with a focus on building responsible and ethical AI solutions