As a Top Rated Plus freelancer on Upwork, I have successfully completed over 40 projects and have received a 5-star rating on most of them with my current JSS standing at 100%. While I am unable to list all of my projects, I am proud to highlight a few of my most notable or open achievements.
A music discovery platform that finds tracks by how they actually sound rather than by genre, popularity or metadata. Sole developer, 20 months and counting.
An Elementor-based WordPress site rebuilt in plain Astro with Tailwind and TypeScript, matched closely at every breakpoint so visitors would not notice.
A suite of fifteen voice and chat applications, built as one coordinated set so that a client could compare interaction models against one shared backend.
A scraper that signs into Beatport and extracts charts, playlists, releases and hold bins, driven by a configurable list of sources rather than hard-coded ones.
A long-running automation system for a weather channel operator that composites broadcast graphics, plots live forecast data and posts alerts on a schedule.
A customer support and sales chatbot that answers from the client's own material rather than general knowledge, embeddable in any site with one script tag.
A Java and Excel driven Selenium framework rebuilt in Python as a browser-configured standalone executable that QA staff can run without installing an IDE.
A verification tool that checks whether Instagram posts really originate inside the US, resolving missing coordinates from city or country before deciding.
A Windows utility that keeps a machine awake while unattended, with scheduled start and stop and a configurable interval. Rebuilt from Python into VBScript.
A geospatial analysis ranking Philadelphia billboards by proximity to competitor outlets, so advertising spend lands within sight of the right customers.
An analysis of San Francisco eviction notices from the city's open data: the most common reasons, the neighbourhoods most affected, and the trend by year.
A recipe suggestion analysis over a dataset of recipe ingredients, plus purchasing statistics by retailer, built as the first stage of a larger application.
A site-selection model for a Vancouver coffee shop, reducing an intractable 432 billion comparison problem to an analysis that finishes in a matter of minutes.