Muhammad I.

Key Skills

Software

LabelImg

Top Subject Matter

Computer Vision (image classification and object detection)

Top Data Types

Image

Top Task Types

Object Detection

Classification

Freelancer Overview

ML Engineer Intern (Computer vision data annotation for object detection/classification pipeline). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LabelImg. Education includes Bachelor of Science, University Name (2026). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Classification.

Labeling Experience

Machine Learning Engineer Intern - Tech Company / Research Lab

ImageClassificationObject Detection

Machine Learning Engineer Intern supporting end-to-end computer vision development for client use cases. You worked with YOLO and TensorFlow to develop pipelines, from dataset preparation to model deployment. You collaborated with senior engineers to productionize models through APIs while following engineering best practices. • Assisted in building image classification and object detection pipelines using YOLOv5 and TensorFlow • Preprocessed and annotated large datasets using LabelImg and Roboflow to improve model performance • Deployed ML models via REST APIs using Flask and supported unit testing and documentation • Participated in agile sprints, code reviews, and MLflow-based internal model registry activities

2023 - 2023

ML Engineer Intern (Computer vision data annotation for object detection/classification pipeline)

LabelImgImageObject Detection

Contributed to building image classification and object detection pipelines by preparing annotated datasets for client use cases. Performed dataset preprocessing and image annotation to support model training for YOLOv5 and TensorFlow-based workflows. Helped validate improvements from labeling by tracking model performance metrics such as mAP changes. • Annotated 10,000+ images for computer vision training • Used labeling tools to support annotation workflows • Supported dataset preprocessing prior to model training • Contributed to performance gains (mAP improved by ~12%)

2023 - 2023

Education

Work History