I design and ship Python + Flask tools that my DS/QA teammates use in production: scraping, classification, QA portals, and end-to-end automation. I map the workflow and data rules myself, then use AI as a coding co-pilot to turn those ideas into stable tools that run every day.
I’m a data specialist who moved into backend and automation work. In my day-to-day, I work close to the data: cleaning inputs, validating results, and building tools so other data workers can move faster and make fewer mistakes. Every project on this page is a live internal tool used by my Data Specialist (DS) teammates in production workflows.
Most of what I build revolves around Python + Flask + SQL with practical integrations: Google Sheets, Excel, APIs, and headless scraping. I sketch the workflow and data model, then use GPT-style tools as a pair programmer to help write and refactor the code, deploy it on my own VPS, and support teammates using it.
End-to-end brand normalization toolkit that lets data specialists search, resolve, and reuse brand paths across large product catalogs. Includes a Chrome extension, offline desktop EXE, and a web version. Used daily by the DS team to standardize thousands of products per week.
Internal analytics dashboard that automates Google Sheets → Excel → SQL, compares DS vs QA outputs, and shows KPIs, error donuts, and row trends for Retail and URPC projects in one place. Used by DS/QA leads to monitor hundreds of files and catch invalid rows faster.
Multi-category AI categorizer that parses MX item names into clean fields (brand, Kind of Product, size, UOM, container, pack, flavor, etc.) for Alcohol, CNG, CBD, and CAN products, with Batch Mode and Review Mode powered by GPT-4o-mini and custom rules. Runs on live Alcohol/CNG/CBD pipelines, processing thousands of lines with fixed schema outputs.
Interested in roles around data operations, internal tools, or backend automation—especially where I can design workflows and use AI as a coding co-pilot. Open to remote-first and hybrid setups.