Daniel L.

Skills\Experience: * Web apps: Flask or Django on the backend, vanilla js or react with bootstrap on the front end * Desktop apps: C++ with QT or Python with Pyside2 or Tkinter. I can also use web technologies on desktop apps with either with electron, QT's WebEngine or my own wrapper for the MS edge API * Machine Learning: I have developed or trained ML models for things like sentiment analysis, object\face recognition, image classification\segmentation and time series prediction, with most of my experience been with Keras\TensorFlow, but I've also did a couple jobs with PyTorch. * Chat GPT. I've been working with Chat-GPT in a SEO - search engine optimization - dashboard since may 2023. I'm proficient with prompt engineering, the asynchronous API (for parallelization), model fine-tuning, the function calling API and also with the OpenRouter API, which allows reuse of the same code with several different large language models * Data analysis: I have a lot of mileage with all the usual python tools for data science: Numpy, scipy, scikit-learn, keras, pandas, matplotlib and so on. I'm working with these things for about 10 years now and l know these libraries like the back of my hand