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Abdelrahman Elewah

AI & Machine Learning Researcher

Resume

About Me

AI & Machine Learning Researcher with 7+ years of experience architecting scalable, real-time AI and IoT systems. Specialized in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent frameworks for real-time IoT data processing and search. Passionate about advancing inclusive, impactful research in AI and Generative Systems.

Experience

Ontario Tech University

Graduate Research Assistant

  • Designed SensorsConnect framework: World-Wide Web for Internet of Things, enabling seamless device communication.
  • Introduced Agentic Search Engine for real-time IoT data (ASE-IoT), leveraging large language models (LLM), retrieval-augmented generation (RAG), and Agentic AI systems.
  • Designed the ThingsDriver messaging protocol for IoT cloud-node management.
  • Contributed to a project funded by OVIN, focusing on developing curriculums for autonomous vehicles and researching software-defined vehicles (SDV) and digital twins.
  • Collaborated with Eagle Aerospace on an Aircraft Deceleration Early Warning System.
  • Introduced a data visualization method, RadViz-Plotly, to visualize high-dimensional data and published it as a research paper.

2U

Instructional Specialist

Contributed to the success of the University of Toronto's online Data Analytics Boot Camp specializing in training data professionals.

  • Assisted learners in acquiring essential practical and technical skills for modern data analysis:
    • Excel: Pivot tables, Forecasting, VBA scripting, Statistical modeling.
    • Python Data Analytics: APIs, NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras, PyTorch.
    • Databases: SQL, PostgreSQL/pgAdmin, MongoDB, Extract, Transform, Load (ETL) process.
    • Web Visualizations: HTML, CSS, Bootstrap framework, JavaScript charting, Geomapping with Leaflet.js.
    • Advanced Data Analysis Topics: Tableau, Data ethics, Hadoop, Machine Learning/Deep Learning.
  • Guided learners through real-world projects tailored to industry sectors like Finance, Human Resources, Healthcare, and Government.

Tamra-IoT

Co-Founder

  • Architected IoT platforms integrating MQTT TLS, cloud services, and mobile control.
  • Collaborating on business management and strategic decision-making.
  • Designed OTA firmware updates and implemented robust IoT management solutions.

Education

Ontario Tech University

Jan 2020 – Mar 2025

PhD in Electrical and Computer Engineering

GPA: 4.22/4.3. Thesis: SensorsConnect: World Wide Web for Internet of Things.

Benha University

Jan 2014 – Dec 2019

MSc in Electrical Engineering

Thesis: Multi-modulation Low Earth Orbit Satellite Based on Software Defined Radio.

Benha University

Sep 2008 – Jun 2012

BSc in Electrical Engineering

Capstone: EagleEyes – Mine Detection System using a Quadcopter (Drone).

Projects

Apply Lightweight Fine Tuning to a Foundation Model

Leveraged the GPT-2 language model and the Hugging Face Transformers to fine-tune GPT-2 on news classification tasks using the AG News dataset. Implemented a parameter-efficient fine-tuning (PEFT) approach. Achieved improvements in the evaluation metrics, including reduced loss and increased classification accuracy.

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IoT Agentic Search Engine

Developed a real-time IoT search engine powered by LLMs and RAG, supporting natural language queries across heterogeneous IoT systems. Implemented a semantic search pipeline using Sentence-BERT and HNSW indexing. Managed over 37,000 real-time IoT documents across 500 service types stored in MongoDB with geographic indexing. Achieved 92% top-1 accuracy in complex intent detection and retrieval, outperforming state-of-the-art systems like Gemini. Applied in real-time urban scenarios: finding least-crowded clinics, available parking, and lowest gas prices based on live sensor data.

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RadViz-Plotly

Developed RadViz-Plotly, an open-source Python package for creating 2D and 3D Radial Visualization (RadViz) plots for high-dimensional datasets. Enabled data scientists to visualize complex data distributions interactively using Plotly for enhanced insight discovery. Facilitated better understanding of high-dimensional data and detection of hidden patterns through intuitive visual analytics.

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Skills

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