Summary
Work History
Education
Skills
Projects
Conferences
References
Timeline
Generic

Hanan Al-Qahtani

Al Khobar (open To Relocation)

Summary

Experienced AI Engineer with a Master's degree in Artificial Intelligence and a background in Computer Science. Seeking a challenging position to leverage my knowledge of AI principles and my ability to solve complex problems. Adept at delivering high-value projects with speed and accuracy, skilled in machine learning, deep learning, and algorithm development.

Work History

AI Engineer – Internship

Air Products Technology Center
Dhahran
06.2024 - Current

Developed industrial tools.

- Designed a Python tool to monitor plant stability based on real-time sensor data.

- Developed a multi-step workflow for comprehensive, plant-wide stability evaluation.

- Collaborated with the team for troubleshooting, installation, and setup of tools and algorithms, ensuring proper configuration and functionality.

- Maintained documentation, including design decisions and test results.

Edge AI and TinyML algorithms on the Raspberry Pi.

- Tested AI models on various datasets to evaluate performance and optimize results.

- Implemented real-time object detection and audio classification on a Raspberry Pi.

- Cleaned and manipulated raw data.

- Converted an audio anomaly detection model for industrial machines to a TensorFlow Lite model, and deployed it on a Raspberry Pi.

- Enhanced the model's functionality and efficiency on the Raspberry Pi through code optimization.

- Provided technical support and troubleshooting assistance related to deployed AI solutions.

Education

Master of Science - Artificial Intelligence

University of Tabuk
Tabuk
06-2024

Bachelor of Science - Computer Sciences

University of Tabuk
Tabuk
05-2018

Skills

    Programming Languages

    Python, C, SQL

    Machine Learning and Deep Learning TensorFlow, TensorFlow Lite, PyTorch

    Data Analysis and Visualization

    Pandas, NumPy, Matplotlib

    Data Engineering:

    ETL processes, data gathering, cleaning, and preprocessing

    Natural Language Processing

    text processing, fine-tuning, RAG, LangChain

    Hardware Integration:

    IoT devices, embedded systems

    Knowledge of cloud platforms

    (AWS, Google Cloud)

Projects

  • Plant Steady State Tool: Designed a Python tool to assess plant steady-state conditions, enhancing analysis and reporting accuracy.
  • Conversational RAG System with LLM Integration: Built a GPT-3.5 Turbo-powered system using LangChain for efficient document retrieval.
  • Anxiety Prediction Model: Developed a machine learning model with 96.23% accuracy to predict anxiety among technical employees.

Conferences

3rd International Conference on Computing and Information Technology (ICCIT) – September 13–14, 2023

References

Prashanth D'Souza, Sr Data Science Engineer, Air Products
dsouzap@airproducts.com

Timeline

AI Engineer – Internship

Air Products Technology Center
06.2024 - Current

Master of Science - Artificial Intelligence

University of Tabuk

Bachelor of Science - Computer Sciences

University of Tabuk

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Hanan Al-Qahtani