Nahim Gomez

Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

Data Analyst

Machine Learning engineer

Prompt evaluator

Top Data Types

Image

Top Task Types

Classification

Freelancer Overview

Machine Learning Engineer - Computer Vision Sign Language Recognition. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK). Education includes Bachelor of Science, Northern Technical University (2026). AI-training focus includes data types such as Image and labeling workflows including Classification.

Labeling Experience

Machine Learning Engineer - Computer Vision Sign Language Recognition

Opencv AI Kit OakImageClassification

Developed a custom dataset of hand pose landmark images for the creation of a sign language recognition system. Labeled images were used to train a CNN model to detect and classify Ecuadorian Sign Language vowels in real time. Implemented end-to-end data collection and labeling using live video capture for model training support. • Built real-time annotation workflow using OpenCV and MediaPipe. • Collected and labeled image data for gesture recognition. • Applied classification labels to hand poses representing vowels. • Integrated labeled dataset with TensorFlow for model training.

Developed a custom dataset of hand pose landmark images for the creation of a sign language recognition system. Labeled images were used to train a CNN model to detect and classify Ecuadorian Sign Language vowels in real time. Implemented end-to-end data collection and labeling using live video capture for model training support. • Built real-time annotation workflow using OpenCV and MediaPipe. • Collected and labeled image data for gesture recognition. • Applied classification labels to hand poses representing vowels. • Integrated labeled dataset with TensorFlow for model training.

2024 - 2025

Education

Work History