Hi, I'm Mannan Ul Haq
Associate Data Scientist, AI Researcher & Developer
Associate Data Scientist, AI Researcher & Developer
A dedicated Data Scientist, Analyst, and AI Engineer with a deep passion for Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Agentic AI. I thrive on building intelligent, innovative solutions that make real-world impact.
Academic Foundation
Final-year BS Data Science student at FAST-NUCES Lahore with a strong academic track record in AI, machine learning, deep learning, data analysis, NLP, computer vision, and big data analytics. Demonstrated excellence across both theoretical understanding and hands-on implementation of real-world systems.
Core Technologies
Skilled in programming languages including Python, R, C++, C, C#, Java, JavaScript, HTML, and CSS. Proficient with tools and frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, OpenCV, and key Python libraries for data science. Experienced with big data ecosystems (PySpark, Hadoop), cloud tools, and modern development workflows.
Mentorship & Teaching
Founder of CodeTechMentor, a platform offering free resources and guidance in programming, data science, and AI. Serving as a Teaching Assistant at FAST-NUCES, mentoring over 150 students in data science and applied machine learning, while also actively contributing to collaborative freelance AI and computer vision projects.
My professional journey in data science, artificial intelligence, research, and education.
FAST-NUCES
Jul 2025 - Present
Funded Research PositionAs a Junior Software Engineer at FAST-NUCES, I'm actively contributing to cutting-edge research and development projects at the intersection of AI and sustainable technology. My current work involves developing intelligent software systems and AI agents designed to enhance automation, decision-making, and interaction capabilities. In parallel, we are exploring innovations in electronic vehicle (EV) technology, focusing on integrating AI-driven components for smart control, energy efficiency, and autonomous behavior.
StatFusion Research
Jun 2025 - Present
InternshipThis internship is an opportunity to contribute to ongoing projects focused on air quality research, environmental data integration, and predictive modeling using advanced machine learning and data fusion techniques.
Devinci Code
Jun 2025 - Present
FreelancingCollaborating on AI and computer vision projects as part of a freelance team at Devinci Code. Contributing to the development of agentic AI systems, intelligent automation tools, and real-world applications involving image processing, task planning, and dynamic software integration.
FAST-NUCES
Aug 2024 - Present
AcademicAssisting students with Data Science and Applied Machine Learning. Contributed to the development of quizzes and assignments, facilitated course projects, and provided academic support to students. Developed strong communication skills while helping students grasp complex concepts.
FAST-NUCES
Oct 2024 - Jul 2025
ResearchWorked on improving Human Activity Recognition (HAR) using wearable sensor data through a novel Deep Capsule Network (DCapsNet) framework. Focused on enhancing classification accuracy and robustness by integrating spatial hierarchy preservation, reconstruction loss, and trigonometric orientation-based features. Co-authored the research paper titled "Capsules in Motion: A Deep Orientation-Aware Framework for Human Activity Recognition," which has been submitted for publication to Springer's Complex & Intelligent Systems (CIS) journal.
A comprehensive toolkit for modern data science and AI development.
Programming
Data Science
Tools & Technologies
Academic achievements and professional certifications that drive my expertise.
Academic Background
FAST-NUCES Lahore
Grade: 6th Semester Completed
CGPA: 3.74
Professional Credentials
Recognition for academic excellence and achievements
4 Consecutive Semesters
FAST-NUCES
SGPA 4.00 Spring 2025
Top Performer
Showcasing innovative solutions in data science, AI, and software development.
Ola is an AI-powered educational assistant designed to support teachers by automating key classroom tasks. The project features two core modules: Automated Lecture Note Generation and Whiteboard Text Refinement. The note generation module combines OCR-extracted slide text with audio transcriptions using a fine-tuned Whisper model, enhanced through a T5-based summarization model. The whiteboard module uses a drawing canvas and a deep Capsule Network trained on EMNIST.
Feb 2025 - May 2025
Associated with FAST-NUCES
The objective of this project is to analyze historical weather data to predict precipitation (rainfall) using machine learning and deep learning models. This project aims to explore weather patterns such as temperature, humidity, and wind speed to develop a reliable forecasting model that predicts rainfall.
Sep 2024 - Nov 2024
Associated with FAST-NUCES
Introducing DigiBank: a cutting-edge bank management system that integrates facial recognition technology for enhanced security and seamless user experience. Revolutionize your banking operations with advanced features tailored for both customers and bank staff.
Jan 2024 - May 2024
Associated with FAST-NUCES
Revolutionize electoral integrity with 'Vote ko Izat do' – a secure desktop application combating electoral fraud. Our solution offers advanced facial recognition authentication, database management, and real-time monitoring for fair, transparent elections.
Jan 2024 - May 2024
Associated with FAST-NUCES
What colleagues and mentors say about my work.
Associate Professor (AI & DS) at FAST NUCES, Lahore
Mentored Mannan on research work • July 18, 2025
"I had the pleasure of supervising Mannan Ul Haq during his undergraduate research work on a Human Activity Recognition project. Throughout our collaboration, Mannan consistently demonstrated strong initiative, a deep curiosity for advanced AI techniques, and a remarkable ability to learn and apply complex concepts quickly — especially in areas like Capsule Networks and orientation-aware feature engineering. His work ethic, technical skills, and team-oriented attitude made him a standout contributor. I am confident he will continue to grow and make meaningful contributions in the field of Data Science and AI."
Lecturer at FAST-NUCES
Worked with Mannan on the same team • July 12, 2025
"I had the pleasure of working with Mannan while he served as a Teaching Assistant for the Data Science course. Throughout the term, he consistently demonstrated professionalism, punctuality, and a strong commitment to supporting students. His reliability and timely assistance made a significant difference in maintaining the course flow and helping students stay on track. Mannan is a dependable and dedicated individual—an asset to any academic or professional team."
Lecturer at FAST-NUCES
Worked with Mannan on the same team • July 12, 2025
"I had the pleasure of having Mannan Ul Haq as the Teaching Assistant for my Applied Machine Learning course at FAST University in Spring 2025. Mannan did an outstanding job supporting the course — assisting with assignments, quizzes, and project-related tasks. His dedication, reliability, and strong understanding of the subject made a significant impact on the students' learning experience. He was proactive, professional, and a valuable asset throughout the semester. I highly recommend him for any future academic or industry role in machine learning or data science."
Let's connect and discuss opportunities in data science, AI research, or collaboration.
mannanulhaq2004@gmail.com
+92 324 6272488
Chat on WhatsApp
Lahore, Pakistan
