Projects
5 projects in MVPs.
Order-ahead for a café with three locations. Customers order from their phone and pick a pickup time, orders appear on a tablet in the kitchen within seconds, and each table has a QR code for the menu. It also has a support chat.
A cleaning company website where customers price their own clean in under a minute, or start from a photo of the space, with every line shown and tax separate, then send the quote in one click. Every request lands in a leads inbox the owner works from new to won to booked.
Start a multi-step AI workflow and watch it run live: a separate worker runs each step from a job queue, retries what fails, and pauses for a person to approve, edit or reject the AI's draft before anything is sent.
Drop in a pile of invoices, receipts and forms, including scans and phone photos, and get back checked rows you can export to Excel or CSV. Every value shows where on the page it came from, and the math is checked before you approve it.
Full-stack work on the core search of a marketplace used by millions of students: a React and TypeScript catalog with 150k+ listings and 50+ filters, saved searches and compare, a NestJS API layer over OpenSearch, and natural-language filters.
Papers from my MSc research on bin packing, published at computer science conferences, plus earlier data science projects and the startup I founded.
Research paper2020
A research paper on square packing, a two-dimensional version of bin packing where square items go into as few square bins as possible. Unlike earlier models, items may be rotated, which matches how stock cutting works in practice.
Research paper2021
A research paper on placing replicated tenants onto as few cloud servers as possible while staying safe when a server fails. Tenants arrive one at a time and can't be moved later, so this is an online bin packing problem with fault tolerance built in.
Research paper
A desktop application that takes a developer's question, collects Stack Overflow results in real time, then ranks and clusters the code snippets in the answers so the useful ones are quick to find.
Data science2021
Classification models that predict the intention behind a code review question, such as asking for a clarification, suggesting an improvement, or asking why something was built a certain way, using the question's words plus key-question, sentiment, and length features.
Data science2020
Visualizations and regression forecasts of the early COVID-19 outbreak, from 22 January to 7 April 2020, using Johns Hopkins CSSE data, comparing polynomial, Bayesian ridge, and support vector regression.
Data science2014
Data mining on 6,000 abdominal aortic aneurysm patient records to find how medical records relate to length of stay at the hospital. After careful preprocessing, some models reached 70 to 84 percent accuracy.
Product2012
A social network connecting local businesses and their customers. It started as a business plan that was named the "best promising project" at the IUT Entrepreneurship Festival, and I then founded a startup to build it.
Send a short note on what you're building. I'll reply with questions and a rough plan.
