Kbayer
AI Engineer
Overview
$7.95/hr · Full Time (6hr/day)
Education:
Engineering Degree (B.Eng.) in Electrical and Automation Eng...
Last Active:
1 month ago
Joined:
July 21, 2026
Profile Description
AI Engineer | Computer Vision & Edge AI
AI Developer specializing in computer vision, deep learning, and real-time edge deployment. I build and optimize object detection, segmentation, and tracking models (YOLO, SAM2, Grounding DINO) and deploy them on embedded systems — Raspberry Pi, STM32, and robotics platforms like Unitree Go2 — achieving sub-30ms real-time inference via ONNX and TensorFlow Lite.
My background spans automated annotation pipelines that cut manual labeling by 70%, LSTM/GRU/CNN models for biomedical signal processing (ECG arrhythmia detection), and Test-Time Adaptation research for ML models under distribution shift. Comfortable owning a project end-to-end: data pipeline → model training → optimization → production deployment.
Core stack: Python, PyTorch, TensorFlow, OpenCV, ONNX, TensorFlow Lite, Docker
Specialties: Object Detection & Tracking, Edge AI Deployment, Embedded Inference, MLOps
Available for freelance/remote roles in computer vision, ML engineering, and edge AI deployment. Fluent in English and French.
Skills
Computer vision
2 years
Python
2 years
Machine learning
2 years
Deep learning
2 years
PyTorch
3 years
TensorFlow
3 years
Edge AI
2 years
YOLOv5
2 years
Docker
1 years
Linux
2 years
Experience
Concordia University
Research Student · Machine Learning
January 2026 – Present
Developing Test-Time Adaptation (TTA) techniques for ML models under distribution shift; benchmarking DIGA, PETAL, and PeTTA on tabular sensor data for smart building environments.
EagleProjects
AI & Robotics Engineer (R&D)
February 2025 – December 2025
Deployed object detection and tracking models on Unitree Go2 robot; optimized for real-time edge inference via ONNX and TFLite. Built automated annotation pipeline using SAM2 and Grounding DINO.
University of Paris VIII
Research Intern · Signal Processing & ML
March 2024 – July 2024
Implemented LSTM, GRU, and CNN architectures for ECG arrhythmia detection; deployed best-performing model on Raspberry Pi for real-time embedded inference.
ITGUST
Data Science Intern · Multimodal Learning
August 2023 – September 2023
Designed a real-time multimodal pipeline for video-based stress inference, fusing facial expression, eye-blink, and head motion features.
Education
Engineering Degree (B.Eng.) in Electrical and Automation Engineering
National Engineering School of Gabès (ENIG)
2021 - 2024
Scientific Preparatory Cycle
Private School of Engineering and Technology (ESPRIT)
2018 - 2021
Client Reviews
Basic Information
Gender
Female
Location
Tunis, TunisiaResume
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