Ahmed A.

Key Skills

Software

Don't disclose

AWS SageMaker

CVAT

Labelbox

LabelImg

Label Studio

Mercor

Micro1

OpenCV AI Kit (OAK)

Roboflow

Top Subject Matter

Industrial vision (forklift safety, vial inspection, PPE/fire/hazard detection)

Multilingual speech/audio translation

Top Data Types

Image

Audio

Computer Code Programming

Top Task Types

Object Detection

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Red Teaming

Computer Programming/Coding

Data Collection

Freelancer Overview

R&D Industrial Software Engineer, ManEx Systems (AI/Computer Vision Integration). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and AWS SageMaker. Education includes Bachelor of Science, Egypt-Japan University of Science and Technology (E-JUST) (2026). AI-training focus includes data types such as Image and Audio and labeling workflows including Object Detection, Translation, and Localization.

Labeling Experience

R&D Industrial Software Engineer, ManEx Systems (AI/Computer Vision Integration)

Don't discloseImageObject Detection

Worked on computer-vision pipelines for industrial safety and inspection systems using camera-based inputs. Implemented and integrated AI functions such as object detection, segmentation, and anomaly detection into an edge workflow. • Reduced human-collision risk using adaptive speed and auto-braking zones driven by stereo-camera processing. • Built a vial inspection platform for detecting moving particles and liquid impurities. • Designed an edge AI PPE/fire/hazard detection device with real-time alerts. • Enabled integrated AI capabilities through a LabVIEW–Python bridge (Cython/DLL).

2025 - Present

AWS Machine Learning Engineer Intern, Digital Egypt Pioneers Initiative (DEPI)

AWS SageMakerAudio

Completed machine learning–oriented development work for a multilingual audio translation system deployed on AWS. Focused on translating spoken audio between languages as part of an end-to-end AI solution. • Deployed a two-way voice translation system on AWS. • Applied NLP and ML practices supported by AWS certification coursework. • Produced deliverables aligned to technical proposals and project execution. • Coordinated work within a cloud and ML deployment context under an internship program.

2024 - 2024

Education

Work History