Highly accomplished Lecturer in Computer Science and AI with over 5 years of dedicated experience in academia and research. Proven expertise in developing and optimizing machine learning and deep learning models, advanced Computer Vision, and Natural Language Processing solutions. Passionate about fostering student engagement and driving curriculum innovation to prepare the next generation of AI and CS professionals.
Work
University of Central Punjab (UCP)
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Senior Lecturer (Computer Science)
Lahore, Punjab, Pakistan
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Summary
Currently serving as Senior Lecturer in Computer Science, leading undergraduate and postgraduate courses in CS and AI, while actively shaping curriculum and supervising advanced research projects.
Highlights
Leads comprehensive undergraduate and postgraduate courses in Computer Science and Artificial Intelligence, impacting over 150 students annually.
Supervises numerous student projects and research initiatives, guiding successful outcomes in complex CS and AI domains.
Contributes to curriculum development and academic planning, ensuring program relevance and alignment with emerging industry trends.
Mentors students in advanced topics, fostering critical thinking and practical application of theoretical concepts.
University of Management and Technology (UMT)
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Lecturer (Artificial Intelligence)
Lahore, Punjab, Pakistan
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Summary
As Lecturer in Artificial Intelligence, taught core AI/ML courses, designed modern curricula, and supervised impactful student projects in computer vision, NLP, and multimodal AI.
Highlights
Taught advanced courses in Artificial Intelligence, Machine Learning, and related domains to diverse student cohorts, improving comprehension by an estimated 20%.
Designed and implemented cutting-edge course materials, assignments, and assessments, enhancing learning outcomes and student engagement.
Supervised over 10 undergraduate and postgraduate projects in Computer Vision, NLP, and multimodal AI, guiding successful practical implementations.
Mentored students in research methodologies and problem-solving, fostering their ability to apply AI systems to real-world challenges.
University of Sialkot
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Lecturer (Computer Science)
Sialkot, Punjab, Pakistan
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Summary
Delivered core Computer Science courses and supported academic coordination, ensuring effective departmental operations and student success.
Highlights
Delivered foundational courses in Computer Science, including programming and data structures, to undergraduate students.
Assisted in academic coordination and provided mentorship to students, improving their understanding of complex topics.
Supported departmental teaching and administrative activities, contributing to seamless educational delivery.
University of Agriculture, Sub Campus Burewala
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Lecturer (Computer Science)
Burewala, Punjab, Pakistan
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Summary
Conducted lectures in Computer Science fundamentals, designed assessments, and actively participated in academic coordination to enhance educational quality.
Highlights
Conducted lectures in Computer Science fundamentals and programming, fostering a strong academic foundation for students.
Designed and evaluated comprehensive course assessments and student projects, ensuring rigorous academic standards.
Actively participated in academic coordination and departmental activities, contributing to program effectiveness.
Al-Khawarizmi Institute of Computer Science (KICS)
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Research Assistant
Lahore, Punjab, Pakistan
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Summary
Contributed to advanced research in Computer Vision and NLP, developing and optimizing machine learning and deep learning models for scalable AI solutions.
Highlights
Developed and optimized machine learning and deep learning models for Computer Vision and Natural Language Processing (NLP) projects.
Designed and fine-tuned deep learning algorithms for tasks including image classification, object detection, segmentation, and text processing.
Performed rigorous model evaluation and performance analysis, ensuring high accuracy and scalability of AI solutions by 10-15%.
Contributed to research-driven projects, enhancing the institute's capabilities in cutting-edge AI applications.
OMNI-PRESENCE: ROBUST HUMAN DETECTION ACROSS HETEROGENEOUS SCENES
Summary
This project focuses on advanced human detection using computer vision, capable of detecting humans in various situations, whether they're partially hidden or fully visible, using deep learning and object detection techniques.
HUMAN SHADOWS AS INDICATORS: A NOVEL APPROACH TO DETECTION
Summary
A groundbreaking computer vision project focused on harnessing information within human shadows for innovative human detection, excelling in situations where direct visual identification is difficult.
FEATURE BASED SENTIMENT ANALYSIS FOR APPLE PRODUCTS USING MACHINE LEARNING
Summary
Utilized machine learning for feature-based sentiment analysis of Apple products.
BASED ON ENORMOUS REVIEWS ON APPLE PRODUCTS FRUITY SUGGESTIONS TO IMPROVE PRODUCT QUALITY
Summary
Leveraged extensive reviews of Apple products to generate suggestions for improving product quality.
BRIDGING THE COMMUNICATION GAP - A SYMBOLIC LANGUAGE RECOGNITION AND TRANSLATION APP FOR DEAF INDIVIDUALS
Summary
Developed an application for symbolic language recognition and translation to aid deaf individuals.
EMPOWERING CLASSROOM INTERACTION: NOVEL APPROACH TO HAND GESTURE INTELLIGENCE FOR SMART ENVIRONMENTS
Summary
Explored a novel approach to hand gesture intelligence to empower classroom interaction in smart environments.
LUMYPSKIN CLASSIFICATION AND EXAMINING ITS SEVERENESS ON IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
Summary
Project focused on classifying Lumypskin and assessing its severity on images using Convolutional Neural Networks.
SMS SPAM DETECTION
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Summary
Developed as a term project for the Information Retrieval course, this project leveraged various ML algorithms and NLP techniques, such as tokenization, lemmatization, stemming, and stop-word removal, on a Kaggle SMS spam detection dataset.
VOICE AND GRAPHICAL PASSWORD AUTHENTICATION TECHNIQUE
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Summary
Completed as an MSC final year project, employing PHP for robust security through two authentication methods: 'Graphical Password Technique' (image-based) and 'Voice Authentication Technique' (voice recognition).
EMPLOYEE MANAGMENT SYSTEM
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Summary
Developed in C++ (OOP), this system manages employee records, computes income and bonuses, and ensures secure access. It supports tasks like adding, modifying, deleting, sorting, and searching employee data.
LIBRARY MANAGEMENT SYSTEM
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Summary
Developed as a term project using HTML and CSS for the front-end design and PHP with MySQL for backend design.