CV

Below are the academic and professional highlights from the most recent version of my CV.

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Summary

I am a Ph.D. Scholar at IRDL, CNRS UMR 6027, France, researching AI-driven Digital Twin systems for failure diagnosis and predictive maintenance in tidal energy turbines. My work focuses on integrating machine learning, signal processing, and computer vision to enable intelligent monitoring solutions in renewable marine systems.

I am a PIAIC Certified Artificial Intelligence Developer and a Microsoft Certified Python Expert, with hands-on expertise in TensorFlow, PyTorch, Keras, and Scikit-Learn. I am passionate about bridging research with real-world applications that are sustainable, scalable, and human-centered.

Education

• (10/2025-10/2028) Doctor of Philosophy (Artificial Intelligence and Electrical Engineering), Université de Bretagne Occidentale, Brest, France.
• (01/2022-01/2024) Master of Science in Artificial Intelligence, FAST NUCES, Islamabad, Pakistan. GPA: 3.7/4.0 (Gold Medalist).
• (09/2017-07/2021) Bachelor of Science in Software Engineering, SZABIST, Islamabad, Pakistan. GPA: 3.26/4.0.

Professional Experience

FAST NUCES

Islamabad, Pakistan
Lecturer / Lab Instructor (08/2023-06/2024)

• Taught Fundamentals of Software Engineering and conducted labs for AI, Data Mining, and Data Structures.
• Researcher at AIM Research Lab, focusing on industrial AI applications.

Freelance

Remote (Upwork / Fiverr)
Machine Learning & Data Science Expert (12/2019-02/2024)

• Delivered high-quality AI solutions, data annotation, and custom ML pipelines.

Technical Projects

CNN-LSTM-based Activity Detection System

• Developed a computer vision system for activity recognition on construction sites using LSTM and CNNs.
• Project Link

Deepfake Detection (MS Thesis)

• Developed a detection system using lighting inconsistencies in retinal and face movements.
• Implemented landmark detection and utilized FacedSwapGAN for forensics.

Smart YouTube Video Assistant

• Built a RAG-based assistant for video summarization and custom prompt querying.
• Project Link

Intelligent Health Monitoring System (FYP BS)

• Full-stack health dashboard using Django, PostgreSQL, and regression algorithms for student performance forecasting.
• Project Link

Other Technical Projects

• Automated Stationery Calculator: AI billing system using YOLOv5.
• Image Steganography: Multi-image encoding using Deep Learning frameworks.
• Core Research: Content-Based Image Retrieval, Font Identification, and Facial Emotion Recognition.

Technical Skills

• AI & Machine Learning: TensorFlow, PyTorch, YOLOv8, Scikit-learn, LLMs, Generative AI
• Computer Vision: OpenCV, MediaPipe, Image Processing, Deepfake Detection
• Programming: Python, PHP, C, C++, SQL, Django, HTML5, CSS

Online Certifications

• PIAIC Certified Artificial Intelligence Developer Check Certificate
• Python Microsoft Certified Programmer Check Certificate
• Computer Vision and Image Processing Essentials Check Certificate
• AI for Medical Diagnosis Check Certificate
• Generative AI for Everyone Check Certificate
• Introduction to Large Language Models Check Certificate
• AI For Everyone Check Certificate

Talks & Lectures

• Real-Time Facial Expression Detection
• VCS Version Control System Github
• Overleaf LaTeX Referencing Tutorial

Dataset Contribution

• AI-Based Automatic Stationery Billing System Link
• Construction Activity Recognition Link

Awards & Honors

• Gold Medalist: MS AI Degree (FAST NUCES).
• Fully Funded PhD Scholarship: Université de Bretagne Occidentale.
• IGNITE NGIRI Grant: Awarded for Final Year Projects 2020-21.

Articles & Research Reports

• Construction Activity Recognition using Deep Learning Link
• “Intelligent Health Monitoring System Using Deep Learning : Ehsaan Ali, Daim Attiq : Free Download, Borrow, and Streaming : Internet Archive,” Internet Archive, 2025. Link (accessed Feb. 16, 2025)
• Critical Review on Paper Titled: “Depression Detection from Social Network Data Using Machine Learning Techniques” Link

References