Tag

#Python

September 22, 20265 min read

Flat image in, living character out

In short: give the pipeline a JPG or PNG of a character and it produces a layered rig plus a small web player that breathes, blinks, shows emotion and lip-syncs to a real voice. The steps are…

June 16, 20265 min read

Warm intros from a graph: shortest path between two people

In short: put people and the organisations they belong to in one graph, and "who can introduce me" becomes a shortest-path query. I built a small demo of this on public Wikidata records for about six…

March 10, 20265 min read

Ingesting a country's law when every province has its own format

In short: Canada's legislation lives on a different website for nearly every province and territory, as PDFs, Word files, an XML API and plain web pages. When a product depends on that text, the…

December 16, 20255 min read

Rules vs transformers for extracting metadata from legal documents

In short: on the same Spanish-language legal documents, the transformer path was more accurate and slower. The rules were fast, cheap and easy to explain. I kept both: rules by default, the…

November 18, 20255 min read

Rewriting a Next.js backend in Python without users noticing

In short: I moved an app's API out of Next.js routes and into a FastAPI service one endpoint at a time, keeping every request and response shape the same, and only pointed the frontend at the new…

November 4, 20255 min read

Streaming speech: where the latency actually goes

In short: in a voice pipeline that waits for each stage to finish, the first sound waits for the whole answer to be written and then spoken. Streaming doesn't make any stage faster. It lets the stages…

October 21, 20254 min read

A voice assistant in a weekend: LLM to speech over WebSockets

In short: a working voice assistant is one WebSocket, one language model call and one text-to-speech call, in that order. I built one in a weekend with FastAPI and OpenAI's APIs. It works, it's…

August 26, 20255 min read

Selecting papers for a review without reading all of them

In short: export every search hit as a .bib file, let a language model screen titles and abstracts against written criteria, then hand-check a random sample to see how often it's right. The model…

July 1, 20255 min read

Agents with opinions: a weekend multi-agent build

In short: I built a small stock analyzer where five agents, each with a fixed investing style, look at the same company and give their own reading. The per-agent outputs are not the interesting part.…

May 6, 20255 min read

Data that doesn't match across sites

In short: when several sites collect "the same" data, the columns share names and almost nothing else. Before any model, write one data dictionary, map every site to it in code, and check the result…

March 11, 20255 min read

Audio preprocessing that matters more than the model

In short: on medical audio, the steps before the model decide most of what the model can learn. Resampling, trimming, filtering, fixed-length windows and a split by patient each remove a shortcut the…

January 14, 20255 min read

Merging two sensor streams that tick at different rates

In short: to put a 100 Hz signal and irregular detections on one 10 Hz clock, summarise the dense stream per bin, count and carry forward the sparse one, and make sure no bin ever sees a sample from…

November 19, 20245 min read

Making a Sankey diagram people actually read

In short: a Sankey diagram works when a reader can follow one flow from left to right without reading a legend. Most unreadable ones fail on the same three things: too many nodes, an order nobody…

November 5, 20244 min read

Real-time transcription on a laptop: what Whisper gets wrong

In short: live on a laptop, Whisper invents text in silence, repeats itself, transcribes your speakers, cuts words at chunk edges and mangles names. Most of the fixes sit around the model, not in it:…

September 10, 20244 min read

Experiment tracking I actually keep using

In short: I use DVC to version data, MLflow to record runs and models, and Weights and Biases when I want to watch a long training live or share charts. What makes them useful is one habit: every run…

August 13, 20245 min read

Doing ML in a field that runs on R and SPSS

In short: psychiatry researchers trust R and SPSS because they've checked those tools for years. Python output earns the same trust when it reproduces a result they already know, comes back in the…

March 2, 20206 min read

COVID-19 Detection with ML and CXR | تشخیص کرونا توسط یادگیری ماشین و CXR

In short: when Iran ran short of COVID-19 test kits, I built a demo that looks at a chest X-ray and tells a normal lung from an abnormal one. Full Keras code below. زمانیکه شروع به ساخت این برنامه…