Hi, I'm Tırso; here are a few projects I am / have been working on, and notes from the hours that went into them.

Your computer is organised around applications. Your work isn't. Docket reorganises your interface around activities you define yourself: the meaningful units of work you return to over days and weeks. Each carries a flexible time goal, and a lightweight daily plan draws from them, so the day's short-term decisions advance your longer-term intentions. Ad hoc tasks can begin straight away and be named, or formalised as an activity, later. Time and activity logs are captured within each activity, building a continuous record of how your work unfolded, one you can revisit to plan, reflect, and adjust.

A semantic search engine for academic papers, running as a two-phase pipeline across a five-machine cluster. Indexing is the distributed half: Prefect schedules a run, Dask spreads the work over twenty worker processes, and each one pulls a paper from arXiv, extracts its text with GROBID, turns it into an embedding with a Sentence Transformers model, and writes the vector to MinIO object storage. The controller then builds a FAISS index from everything collected. Querying is deliberately not distributed: a question in plain language is embedded with the same model and compared against the index, returning the closest papers with their links and similarity scores. Both halves are driven from a Streamlit interface, so a run can be submitted, watched and searched without touching the code.

A distributed protein analysis system spread over a small cluster: one controller and four workers, provisioned with Terraform and configured with Ansible. Analysis is dispatched as Celery tasks over RabbitMQ, while Redis holds the state of each run so progress and failures can be watched while the work is still going. Every worker queries its own local copy of the proteome, and a finished run writes out aggregated CSVs of best hits, per-protein statistics and failures. A Streamlit interface sits on top for submitting runs, following them and downloading results, with Prometheus watching the machines underneath.