Moemen S.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

AI education and emerging technologies in construction (BIM, AI, VR/AR)

AI/engineering software enablement and training outreach (Siemens Xcelerator tools)

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Digital Engineering Intern (AI/technology training content). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Bachelor of Mechanical Engineering, Damanhour University (2027) and High School Diploma (Railways), ENR Wardan Institute (2020). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Siemens Digital Industries Software — Global Academic Team CampusConnect Program (Student Ambassador Expert)

Don't discloseText

Served as a student ambassador expert with Siemens’ global academic team, supporting structured learning and dissemination of Siemens Digital Industries Software capabilities. Responsibilities were focused on communicating training opportunities and sharing practical learning experience with tool ecosystems, functioning as an internal AI/software training and enablement role. The activities supported learner engagement rather than direct dataset annotation. • Communicated academic opportunities and organized campus/online activities • Shared learning experience with Siemens DISW tools (e.g., NX, SolidEdge, Teamcenter, Simcenter, Tecnomatix) • Helped engage classmates and faculty to support an “Empowers Education” initiative • Built ongoing ambassador training and outreach through the program

2025 - Present

Digital Engineering Intern (AI/technology training content)

OtherTextPrompt + Response Writing (SFT)

Delivered brand-aligned presentations and recorded learning sessions on AI and emerging construction technologies, contributing to AI/ML literacy and training for peers. The work involved preparing and structuring educational content and explanations rather than labeling raw datasets. This aligns with AI training activities where trainees receive curated guidance and knowledge materials. • Created and delivered presentations on BIM and AI/VR-AR applications in construction • Produced recorded sessions for knowledge reinforcement • Improved storytelling and communication to support learner understanding • Coordinated training-style content delivery in a remote academy environment

2025 - 2025

Education

Work History