Ahmad Mashhood

Ahmad Mashhood

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Generative AI at AITECH, NATIONAL CENTRE OF PHYSICS
Islamabad, Pakistan

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Résumé


Jobs verified_user 0% verified
  • A
    Generative AI
    AITECH NATIONAL CENTRE OF PHYSICS
    Jul 2024 - Current (2 years 2 months)
    Focused on developing innovative AI-driven models and solutions. I led projects involving cutting-edge generative techniques to solve complex real-world problems
  • Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
    Research Assistant | Deep Learning
    Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
    Sep 2023 - Dec 2023 (4 months)
    - Conducted research in the field of deep learning, focusing on neural network architectures and algorithms. - Assisted in the development and implementation of deep learning models for various applications, such as computer vision and natural language processing. - Collected and preprocessed data for training and testing deep learning models. - Collaborated with senior researchers to design experiments and analyze results. - Contributed to the writing of research papers and technical reports. - Stayed up-to-date with the latest advancements in deep learning and related technologies.
  • Jang Group of Companies
    The News International
    Jang Group of Companies
    Jun 2023 - Aug 2023 (3 months)
    As an intern Full Stack Developer at The News International, I contributed to the development of web applications, focusing on user experience and backend functionality. I gained hands-on experience with front-end technologies like HTML, CSS, and JavaScript and database management. Collaborating with teams, I assisted in delivering scalable solutions that optimized performance and user engagement, aligning with the company's goals.
  • G
    Software Development Intern at the Home Department
    Government of Khyber Pakhtunkhwa
    Jun 2022 - Jul 2022 (2 months)
    During my internship at the IT wing of the Home Department of the Government of Khyber Pakhtunkhwa, I was involved in various tasks. These included aiding in the creation and upkeep of databases, providing assistance in network administration, engaging in the discovery of new projects, and contributing to the analysis and design of software. Additionally, I had the opportunity to explore the potential applications of artificial intelligence in these areas, which opened up new possibilities for innovation and efficiency.
  • Fiverr
    Professional Freelancer
    Fiverr
    Apr 2020 - Jan 2024 (3 years 10 months)
    I have had the opportunity to provide freelance services on Fiverr. On Fiverr, I have attained the status of a Level One seller, which reflects my commitment to delivering high-quality work and providing excellent service. Through these experiences, I have honed my skills and gained valuable insights into the freelance industry, further solidifying my dedication to delivering exceptional results.
Education verified_user 0% verified
  • Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
    Bachelors of Science in Artificial Intelligence, Artificial Intelligence
    Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
    Sep 2021 - May 2025 (3 years 9 months)
  • Beaconhouse
    Cambridge International AS & A Levels
    Beaconhouse
    Sep 2019 - May 2021 (1 year 9 months)
  • Beaconhouse
    Cambridge O Level, Science
    Beaconhouse
    Jun 2017 - Jul 2019 (2 years 2 months)
Projects (professional or personal) verified_user 0% verified
  • D
    Detecting Emotions using Convolutional Neural Network
    Jan 2023 - May 2023 (5 months)
    A convolutional neural network (CNN) designed to classify images based on the facial expressions depicted, encompassing emotions such as happiness, neutrality, sadness, anger, surprise, disgust, and fear.
  • P
    Predicting Rainfall using Deep Neural Networks
    This project presents a deep learning model that forecasts rainfall by utilizing a neural network. The model is trained on a dataset comprising historical weather data from various locations in Australia.
  • P
    Poverty Prediction
    In this project, machine learning, specifically LightGBM, is employed to predict poverty levels using household data. The project underscores the significance of diverse data sources and model interpretability in ensuring precise and transparent poverty prediction, achieving a classification accuracy of 96%.
Publications verified_user 0% verified
  • IEEE Xplore
    Innovative Poverty Estimation through Machine Learning Approaches
    IEEE Xplore
    Jan 2024