I am a full stack engineer with four years of building a data platform for real estate
investment firms across Europe. Most days I turn messy spreadsheets, PDFs and emails into
clean data, reports and dashboards, and lately I have been building AI features on top of
that data.
Experience
2022 – Present
Full stack developer DzangoLabs, remote
I work on GoCanopy, a platform that real estate investment firms in Europe use to track their properties and the deals they are considering. I build across the whole product: the screens in Vue and TypeScript, and the server and data work in Python.
Built the tool that imports hotel P&L spreadsheets. Every hotel owner lays them out differently, and the tool turns them all into one standard format.
Made hotel P&L uploads 20 times faster, from over 2 minutes to 7 seconds, by fixing a hidden slowdown in how files were saved.
Built automatic PowerPoint and Excel reports, including a deal summary that is emailed to clients on a schedule.
Improved an AI tool that reads investment offers from emails and fills in the details for an analyst to check. I taught it to handle data centres, a new type of property.
Python
TypeScript
Vue
PostgreSQL
GraphQL
Google Cloud
Terraform
Jul – Oct 2022
Frontend developer intern FifTech, Kathmandu
Turned the company's Figma designs into a fully responsive website.
A booking platform with an admin panel and a separate hotelier portal, built as a pnpm monorepo with Express 5 and Drizzle behind a typed API contract that the React front end consumes.
Hotel profit and loss arrives as spreadsheets that no two owners format the same way.
Commercial property analytics
Under NDA, so described in words only. Ingestion that survives inconsistent spreadsheets, automated report generation, and the pipelines feeding an analytics front end.