Sabal K.C.

Hi, I’m Sabal KC, a full-stack and backend software engineer based in Houston, Texas, with an M.S. in Computer Science from the University of Houston. I build practical systems across Go, JavaScript, Node.js, Python, React, and AWS, with a strong interest in automation, cloud architecture, AI agents, and applied research.

Most recently, I have been working as a Research Assistant at the University of Houston’s Office of Institutional Research, where I develop centralized reporting tools and data pipelines for institutional assessment workflows. My academic and research interests sit around AI systems, cloud computing, data-driven applications, and the way intelligent tools can support real-world workflows. Before UH, I worked at Dapi, a Y Combinator-backed fintech company, building backend services, browser automation infrastructure, scraping systems, SDKs, and deployment pipelines for open-banking integrations.

I have also been exploring AI agents, including an autonomous Moodle/Canvas agent built with LangGraph and Playwright to study the possibilities, limitations, and risks of AI automation in higher education.

publications

2026

Remote Sens.

Integrating InSAR and Channel Steepness for AI-Based Coseismic Landslide Modeling in the Nepal Himalaya

Rajesh Silwal, Guoquan Wang, Sabal KC, and 2 more authors

Remote Sensing, Apr 2026

Bib HTML PDF

@article{rs18081151,
  title = {Integrating {InSAR} and Channel Steepness for {AI}-Based Coseismic Landslide Modeling in the Nepal Himalaya},
  author = {Silwal, Rajesh and Wang, Guoquan and KC, Sabal and Rimal, Rabin and Rawal, Sagar},
  journal = {Remote Sensing},
  volume = {18},
  number = {8},
  pages = {1151},
  year = {2026},
  month = apr,
  url = {https://www.mdpi.com/2072-4292/18/8/1151},
  issn = {2072-4292},
  doi = {10.3390/rs18081151},
}