CV

Basics

Name Sabal KC
Label Full-Stack / Backend Software Engineer
Email sabalkc462@gmail.com
Url https://sabalkc.com.np
Linkedin https://linkedin.com/in/sabal-kc/
Github https://github.com/sabal-kc
Summary Full-stack and backend software engineer with experience building Go microservices, browser automation systems, data reporting platforms, React applications, and AWS-backed AI/ML projects.

Work

  • 2024.09 - Present
    Research Assistant (Software Developer)
    University of Houston, Office of Institutional Research
    Develop centralized reporting and data extraction tools for institutional assessment workflows.
    • Developed a full-stack centralized reporting platform using HTML, CSS, JavaScript, and PHP to automate annual assessment reporting for 200+ degree programs.
    • Modernized reporting infrastructure by building a KPI extraction pipeline in SQL and PHP, replacing manual reporting of metrics and ensuring 100% data accuracy from Oracle tables in the Data Warehouse.
  • 2021.05 - 2024.07
    Software Engineer
    Dapi
    Built backend services, browser automation infrastructure, SDKs, and deployment pipelines for an open-banking ecosystem.
    • Engineered and maintained backend services using Go (GoKit, Fiber) and MongoDB, utilizing NATS and Protocol Buffers for low-latency service communication.
    • Created and scaled an in-house browser-as-a-service system using Chromium, Node.js, Docker, and Kubernetes, achieving 90% cost reduction by eliminating third-party services.
    • Led a team of 4 engineers to develop and maintain web scraping and automation scripts in TypeScript, Puppeteer, and Node.js for open banking integrations across 30+ banks in the UAE and US, achieving a 95% success rate.
    • Managed client libraries and SDKs in Python, PHP, and Node.js and maintained comprehensive documentation, reducing client integration time.
    • Implemented React frontend features for the client dashboard and built CI/CD pipelines using GitHub Actions and Porter.
  • 2020.12 - 2021.04
    Full-Stack Developer Intern
    Okhati Solutions
    Developed EMR software used by clinics, labs, and hospitals.
    • Developed and maintained an EMR platform using React, Redux, Node.js, Express, and PostgreSQL to streamline clinical and laboratory data management.
    • Led integration work for government COVID-19 data reporting, enabling tracking for 1000+ users daily.

Education

  • 2024.08 - 2026.05
    Master of Science (M.S.)
    University of Houston
    Computer Science
    • Artificial Intelligence, Cloud Computing, Database Systems
    Agg. score: N/A
  • 2016.11 - 2021.04
    Bachelor of Engineering (B.E.) in Computer Engineering
    Pulchowk campus, IOE, Tribhuvan University
    Computer Engineering
    • Software engineering, Operating system, Object oriented programming, Data structures and algorithms, AI, Mathematics
    Agg. score: 73.6% (First division)

Publications

Skills

Programming languages
Go (Golang), JavaScript, TypeScript, Python, PHP
Backend & APIs
Node.js, Express, Flask, Supabase, Microservices, REST APIs
Databases
Oracle, MongoDB, PostgreSQL
Cloud & Containerization
AWS (EC2, S3, ECS, Fargate, SageMaker), Docker, Kubernetes, CI/CD
Developer Tooling & Automation
Git, Web scraping and browser automation (Puppeteer, Playwright), Postman

Projects

  • Moodle/Canvas AI Agent
    LangGraph-based AI agent that automates LMS login, assignment discovery, and assignment submission via Playwright and an agentic tool loop.
    • Compared LLMs for login workflows across Moodle and Canvas using cost, token usage, and latency measurements.
    • Deployed as a containerized long-running service on AWS with scheduled execution and logging through LangSmith.
  • AWS Cloud-Based Movie Recommendation System
    Scalable personalized movie recommender built with Go microservices, React, AWS, SageMaker ML models, and LLM-powered natural-language recommendations.
    • Built a cloud-native architecture with AWS Amplify, Cognito, API Gateway, ALB, ECS, Fargate, DynamoDB, S3, SageMaker, ECR, and CloudWatch.
    • Containerized backend services with Docker and compared ECS on Fargate and EC2 for cost and performance trade-offs.