
Shanise Mukwashi
@shanisemukwashi
Full Stack Developer at ETS International GmbH who helped deliver the VBI platform MVP ahead of schedule.
What I'm looking for
At ETS International GmbH, I work with operations, insurance, and billing teams to turn business needs into software requirements and process documentation. I helped deliver the first version of the VBI travel-technology platform ahead of its planned deadline.
I also designed and delivered a user-account management system, and help three major customers prepare to use the platform by resolving technical issues and improving workflows. My work includes checking insurance and billing data and building automated tests with Playwright.
As the sole developer of RentResolve for Mdirimo Properties, I built a tenant-verification platform with login, administration tools, and reports. I continue to maintain and improve it, and my BSc in Digital Business & Data Science included a thesis project exploring Berlin housing predictions with an interactive comparison of eight machine-learning algorithms.
Experience
Work history, roles, and key accomplishments
Full Stack Developer
ETS International GmbH
Sep 2024 - Present (2 years 1 month)
Worked with operations, insurance and billing teams to translate business needs into software requirements and process documentation. Delivered MVP of the VBI travel-technology platform ahead of schedule and built a user account management system in 1.5 months.
Freelance Full Stack Developer
Mdirimo Properties
Apr 2024 - Dec 2024 (8 months)
Built RentResolve, a tenant-verification platform for landlords, as the sole developer. Defined product needs, built user login, administration tools and reports, and set up automated deployment using Vercel and GitHub Actions.
Education
Degrees, certifications, and relevant coursework
University of Europe for Applied Sciences
BSc, Digital Business & Data Science
BSc in Digital Business & Data Science. Bachelor thesis on an Affordable Housing Platform, building a tool for exploring Berlin housing predictions with data processing and an interactive interface to compare results from eight machine-learning algorithms.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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