About Me
I'm Edward Gaibor, a Computer Science student at the University of Massachusetts Boston (2022-2026) and a part-time Software Engineer at John Hancock - Manulife's GenAI team.
Education
BS in Computer Science at University of Massachusetts Boston (September 2022 - May 2026)
- Dean scholar, The Paul English CS Scholar, Research Fellow funding, The Marie and Thomas Donohue Scholar, and Oracle CSM Research Fellow.
- Vice-President @ CS Club: Organized first-ever Hackathon, Google DevFest (120 attendees) and guest speaker presentations.
Skills
Languages
Native Spanish and Fluent English
Programming Languages
Python, Java, C, HTML, CSS, Javascript, Assembly Language, R
Relevant Coursework
Advanced Data Structures and Algorithms, Data Science, Computer Architecture, Calculus II
Technologies
Sci-kit-learn, Flask, GitHub, Jupyter Notebook, Tkinter, VirtualBox, Open CV, DiscordDev, Tensorflow, Docker, Singularity, Slurm, Three.js, Next.js, Drizzle, ShadCN, VegaLite.js
Publications
Kim, S., Gaibor, E., & Haehn, D. (2024). Web-based Melanoma Detection. ArXiv.org. Accepted for publication in IEEE ISBI 2025.
https://arxiv.org/abs/2403.14898Gaibor, E., Varade, S., Deshmukh, R., Meyer, T., Geshvadi, M., Kim, S., Narayanappa, Vidhya Sree, & Haehn, D. (2024). Boostlet.js: Image processing plugins for the web via JavaScript injection. ArXiv.org. Accepted for publication in IEEE ISBI 2025.
https://arxiv.org/abs/2405.07868