Motamen MohammedAhmed
Abu Dhabi,UAE
Summary
R&D engineer with experience of 6+ years in AI and machine learning applied in social media network and electrical power systems. Expertise includes data engineering, building and evaluating models using Python frameworks (Keras, PyTorch), model deployment using APIs, NLP, Generative AI, LLMs, chat bot apps, and AI agents.
Overview
2026
2026
years of professional experience
1
1
Certification
Work history
Customer Service Representative
Vibes Staffing Solutions
Abu Dhabi, UAE
12.2024 - Current
- Provided customer services and support through multiple roles including activation usher, promoter, scanner, surveyor, directional usher, seating usher, team leader, and supervisor
- Provided useful information about event program reducing confusion amongst attendees
- Resolved guest issues promptly and efficiently ensuring high level of satisfaction
- Participated in multiple events including Mother of Nation festival (MOTN 2024), ADQ community carnival 2025, Club Social 2025, BRED festival 2025, UFC showdown week 2025, ADSS 2025,NBA 2025, and many more
Activation Usher
Vibes Staffing Solutions
Abu Dhabi, UAE
08.2025 - 09.2025
- Answered guests queries with utmost professionalism during ADSS 2025 (Abu Dhabi Summer Sports) in Space42 Arena venue
- Resolved any arising conflicts promptly; ensured peaceful atmosphere throughout events
- Provided guests with guiding tours for venue and event familiarity
- Registered new guests for ADSS application through proper instructions
- Handled booking system for providing available slots, rescheduling, and refund
- Registered collected items by guests during their sessions
- Reported incidents and issues to respective team for proper resolution
- Informed guests about ticketing prices, venue operation times, available amenities, and available sports
Researcher II
DEWA R&D Centre
Dubai, UAE
10 2022 - 10 2024
- Performed feature engineering on simulated data that led machine learning models to score over 98% accuracy in network event detection, localization, and classification for DEWA R&D Centre
- Developed complete machine learning pipeline for detection and classification of voltage sag, swell, and interruption with accuracy over 95%
- Implemented vendor-agnostic dashboard for data analytics in context of power quality assessment
- Extracted insights from real data to identify causes of theft cases in distribution network and possible locations and provided sealed presentation to business units
- Engaged in writing invention disclosure for patent documentation with 40% participation
Graduate Research Assistant
Zayed University
Abu Dhabi, UAE
03 2021 - 03 2022
- Utilized graph information to enhance Twitter public data for detection of harmful bots
- Executed novel graph machine learning model based on graph attention that scored over 95% in bot detection testing data
- Applied big data streaming services for real-time detection of social bots
Graduate Teaching Assistant
American University of Sharjah
Sharjah, UAE
01 2018 - 12 2019
- Assisted lead teachers in lab experiments with over 60% engagement in lab setting
- Assessed students' performance through homework grading following criteria set by instructor
Embedded Systems Engineer
Nile Centre for Technology Research
Khartoum, Sudan
12 2015 - 11 2016
- Developed signal processing techniques for encrypting messages in radio frequency systems
- Performed end-to-end test from transmitter to receive for system evaluation
- Supported system change monitoring and continuous update through utilization of CI/CD tools (SVN)
Education
Master of Science - Computer Engineering
American University of Sharjah
Sharjah, UAE 01.2018 -
Bachelor of Science - Electrical Engineering
University of Khartoum
Khartoum, Sudan 07.2010 - 10.2015
Skills
- Programming Languages: Python, C, SQL
- Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, PyTorch Geometric, HuggingFace
- Data Processing and Manipulation: Pandas, Numpy, Data Cleaning, Feature Engineering
- Deep Learning Architectures: ANNs, CNNs, LSTMs, Transformers, LLMs, GNNs
- Big Data Technologies: Apache Kafka
- Databases: SQL
- Tools and Technologies: Docker, Git, Jupyter Notebooks, LangChain, RAG and Vector Databases
- Machine Learning Concepts: Regression, Classification, Clustering, Model Evaluation Metrics, Hyper parameter Tuning, Ensemble Learning, Time Series Analysis, Natural Language Processing (NLP), Computer Vision, Generative AI, AI Agents
- Others: Statistical Analysis, Data Visualization, API Development (Flask)
Accomplishments
- Developed a simple CV assistant chatbot using OpenAI, LangChain, HTML, Flask, JavaScript and deployed on Heroku platform (2024)
- Received positive feedback from DEWA distribution power sector for building an interactive dashboard for power quality assessment in (2024)
- Participated in Open Data ADDATHON held by Abu Dhabi Digital Authority (2021)
- Ranked 3rd in HSBC Coding Challenge (2019)
Soft Skills
- Communication: Written and Verbal, Presentation
- Teamwork Collaboration: Knowledge Sharing, Conflict Resolution
- Adaptability and Learning Agility: Continuous Learning
- Project Management: Proposal and Report Documentation, Deadline Meeting
- initiatives and Proactiveness: Work Independently
Certification
- Google certificate in Google prompting essentials (April 2025)
- Coursera certificate in fine tune BERT for text classification with TensorFlow (April 2025)
- Coursera certificate in introduction to RAG (Jan 2025)
- LinkedIn certificate in LLMs: text classification for NLP using BERT (Oct 2024)
- LinkedIn certificate in building a personalized chatbot with OpenAI and LangChain (Oct 2024)
Publications
- Conference paper titled " AI Driven Approach to Power Quality Detection and Classification " on SPIES 2024 - Accepted
- Journal paper titled " Improved NaS Battery State of Charge and State of Health Estimation: A Novel Integration of Temporal Fusion Transformer, Isolation Forest, and Support Vector Regression " on IEEE Transactions on Industry Applications (Aug 2024)
- Journal paper titled " Bot-MGAT: A Transfer Learning Model Based on Multi-View Graph Attention Networks to Detect Social Bots " on Applied Sciences - Application of Artificial Intelligence on Social Media (Aug 2022)
- Conference paper titled " Real Time Detection of Social Bots on Twitter Using Machine Learning and Apache Kafka " on 2021 5th Cyber Security in Networking Conference (CSNet)(Nov 2021)
Languages
Arabic
Native
English
Advanced
Spanish
Beginner
Timeline
Activation Usher
Vibes Staffing Solutions
08.2025 - 09.2025
Customer Service Representative
Vibes Staffing Solutions
12.2024 - Current
Master of Science - Computer Engineering
American University of Sharjah
01.2018 -
Bachelor of Science - Electrical Engineering
University of Khartoum
07.2010 - 10.2015
Researcher II
DEWA R&D Centre
10 2022 - 10 2024
Graduate Research Assistant
Zayed University
03 2021 - 03 2022
Graduate Teaching Assistant
American University of Sharjah
01 2018 - 12 2019
Embedded Systems Engineer
Nile Centre for Technology Research
12 2015 - 11 2016
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