AI/ML Engineer

email: ehsaanalinagyal@gmail.com

Introduction

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

I hold a Master’s degree in Artificial Intelligence (CGPA 3.7/4) from FAST NUCES Islamabad and a Bachelor’s in Software Engineering from SZABIST Islamabad. During my master’s, I explored areas such as deep learning, advanced machine learning, big data, AI mathematics, and image processing. My thesis focused on deepfake detection using lighting inconsistencies in retinal and facial movements, blending computer vision with multimedia forensics.

Technically, I am a PIAIC Certified Artificial Intelligence Developer and a Microsoft Certified Python Expert, with hands-on expertise in TensorFlow, PyTorch, Keras, NumPy, Pandas, and Scikit-Learn.

I am passionate about bridging research with real-world applications, especially in renewable energy, AI, and intelligent systems. Through innovation and collaboration, I aspire to contribute solutions that are sustainable, scalable, and human-centered.

Technical Skills: Python, Machine learning, Deep Learning, Image processing, Deepfake detection, LLM, Generative AI

Tool/libraries: SQL, Django, Tensorflow, PyTorch, OpenCV, C, C++, NLTK

CV Link Linkedin Link

Education

• Phd.,Artificial Intelligence and Electrical Engineering

  Université de Bretagne Occidentale (Oct 2025 to Oct 2028)

• M.S.,Artificial Intelligence

  CGPA: 3.7/4

  FAST NUCES Islamabad(January 2022 to January 2024)

• B.S.,Software Engineering

  CGPA: 3.26/4

  Szabist Islamabad (May 2017 to May 2021)

Work Experience

• Lecturer @FAST-NUCES, Islamabad Campus (jan 2025 - june 2024)
• Teaching Fundamentals of Software Engineering Course
• Lab Instructor @ FAST-NUCES, Islamabad Campus (Aug 2023 - june 2024)
• Conducted Lab such as Artificial Intelligence, Data Mining, Data structures and Fundamental of Computing
• Lab Instructor (Visiting), Lab SZABIST Islamabad
• Machine learning and Data Science expert @ upwork
• Research Assistant ‑ AIM Research Lab
• Teaching Assistant ‑ Research Methodology

Internships

• PHP Laravel Internship at Macro Soar
• Data Science and Business Analytics at Sparks Foundation

Projects

CNN-LSTM-based activity detection system for construction sites

• Developed a Computer vision-based Activity Recognition in Construction.
• Used LSTM and CNNs
• Project Link

  Deepfake detection (MS thesis)

• Developed a deep fake detection system using lighting inconsistencies in retinal and face movements.
• Implemented landmark Detection.
• used FacedSwapGAN for deep fake detection.

  camera-image based automated stationery calculator using the YOLOv5 algorithm

• Developed an AI-based Automatic Stationary billing system using YOLO.
• Used Computer Vision algorithms along with Python programming language.

  Image Steganography

• Implemented the Enhancement of Encoded Cover in Multi-Image Steganography using Deep Learning
• Used deep learning frameowrks.

  Smart YouTube Video Assistant

• Developed a Smart YouTube Video Assistant that allows users to input a YouTube video URL and a custom prompt, generating relevant responses in various formats (plain text, text with images, video snippets, or a video response).
• Enhanced user experience by providing additional recommendations, including related web sources, images, and YouTube videos.
• Project Link

Intelligent Health Monitoring System (FYP BS)

• Implemented an intelligent Health Monitor System as a final-year project.
• Framework : Django python
• Front End : HTML, CSS, Bootstrap, JavaScript, High Charts API
• Back End : Python, Regression Algo
• Database : PostgreSQL
• Role : Front End Development, Backend Development, Forecasting Using Artificial Intelligence
• Project Link

  Other Projects

• Content-Based Image Retrieval, Font Identification, Exam schedule generator using genetic algorithm, Facial emotion recognition, Dementia Classification

Online Certificate

• 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/

Dataset Contribution

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

Talks & Lectures

• SCRUM Framework Link
• Artificial Intelligence Contribute to different Industries Link
• Eye Gesture Recognition Using Mediapipe Link
• Real-Time Facial Expression Detection using Mediapipe and OpenCV Link
• Deepfake Generation using Avatarify Desktop Link
• Exploring gaze tracking with the GazeTracking library Link
• Facial Emotion Recognition mediapipe, Tensorflow,OpenCV Link
• PoseTrack Real Time Body and Hand Motion Capture Link
• Mask RCNN Object Segmentation Link
• Using Linear regression Prediction of student Performance Link
• On IRIS dataset predict the optimum number of cluster Link
• VCS Version Control System Gitub Link
• How to use and add reference in Overleaf latex Link

Awards

• Award of IGNITE NGIRI grant to FYPs 2020-21
• Gold Medalist MSAI Degree (Issued by National University of Computer & Emerging Sciences)
• Fully Funded PhD Scholarship – October 2025, in association with Université de Bretagne Occidentale

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