Jefferson Fidelis

AI Lab

Where AI meets production engineering

I treat LLMs and computer vision as engineering problems: real interfaces, real constraints, real trade-offs — not isolated experiments in a notebook.

LLMs & Agents

Multi-agent orchestration with CrewAI, RAG pipelines, and fine-tuning LLMs for domain-specific applications — most recently at Sensilog, building AI features for real client products.

Computer Vision

Real-time object detection and gesture-based interaction, built on YOLO, OpenCV, and MediaPipe — from academic research to interactive HCI experiments.

Applied, not academic

Every project here ties back to a concrete interface or workflow. The goal is always a usable system, not a standalone notebook.

AI & Computer Vision projects

Full case studies — problem, architecture, and trade-offs — for each project below.

Hand-tracking drawing system rendering a line on screen as a finger moves in front of the camera
Artificial Intelligence

Vision-Based Drawing System

Touchless, gesture-based drawing using real-time hand tracking.

PythonOpenCVMediaPipeNumPy
Live video feed with bounding boxes, class labels, and confidence scores drawn around detected objects and people
Artificial Intelligence

Real-Time Object Detection

Real-time object and person detection with YOLOv4-Tiny on Darknet.

PythonDarknetYOLOv4-TinyOpenCV
Terminal output showing a CrewAI multi-agent run generating a travel itinerary and budget breakdown
Artificial Intelligence

Travel Planner — CrewAI

Multi-agent LLM orchestration that plans a trip itinerary and budget end to end.

PythonCrewAILLMspython-dotenv