Jose Cisneros
@JotaCe7
About
Senior Applied AI & Software Engineer | Python, FastAPI, Django, React, MLOps, LLM applications
Skills & Technologies
Projects & Repositories
Recent public projects and repositories from this profile.
ruby-jewelry-pos-frontend
TypeScriptReact + Vite + TypeScript SPA frontend for Joyería Ruby's POS/ERP system.
ruby-jewelry-pos
PythonDjango + DRF API backend for Joyería Ruby's inventory, finance, and POS system.
lora-llm-instruction-tuning
PythonProduction-style LoRA instruction tuning for LLMs with Hugging Face, PEFT, FastAPI, and Docker
framesight-gui
PythonDescription: The front-end user interfaces for the FrameSight project. This repository contains both a Python-based GUI built with Streamlit and a traditional web front end built with HTML, CSS, and JavaScript. Both interfaces communicate with the framesight-api back end.
framesight-api
PythonThe back-end service for the FrameSight project. This repository contains the FastAPI application that serves the core AI logic, including the object detection and tracking endpoints. It communicates with the ML model and provides a REST API for the front-end clients.
framesight-ml
PythonThe core machine learning repository for the FrameSight project. This repository contains all the code and notebooks for data preparation, model fine-tuning (YOLOv8), and experimentation. It includes the scripts for training the object detection model and deploying it to a serving endpoint.