Hammad Qaiser
FAST
· 2025
Email
hammadqaiser.rana@gmail.com
Phone
+923332525797
GitHub
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Academic
Program
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Year
2025
Education
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Address
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DOB
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Hammad Qaiser +923332525797, hammadqaiser.rana@gmail.com G13/2, Islamabad Linkedln: https://linkedin.com/in/hammad-qaiser-a72657229 Bachelor of Science (Computer Science) Major: rtificial Intelligence, Generative Al, Deep Learning, MLOPS, Machine Learning, Cloud Computing and Software Project Management Punjab Group of Colleges, Sargodha Punjab F.Sc (Physics, Chemistry, Mathematics) Dare Arqam School, Sargodha, Punjab Matriculation (Physics, Chemistry, Computer Science) rojects inal Pro"ect: Synthetic Data generation to train Al models [Tensorflow, MERN, Kaggle, Colab] synthetic data generation product to deal with the data scarcity to train the computer vision models for defect etection in the textile industry. emester Pro ·ects: FrameGen [Python, Tensorflow, Streamlit, ConvLSTM model]: Engineered an innovative ConvLSTM model for predicting future video frames. Achieved accurate forecasts on over 000 test videos using the UCF101 action recognition dataset to enhance real time video analytics capabilities. PureAir Al [Python, Keras, LSTM model, Docker, Prometheus, Grafana]: onstructed an advanced pollution prediction system using time series analysis and integrated it with Prometheus nd Grafana, enabling real-time monitoring and insights that reduced data retrieval time by 40 percent. laucoma Detection System[Python, Pytorch, CNNs, Streamlit]: Designed pipelines processed over 5000 retinal images, optimizing CNN-based system for glaucoma classification. raffic Signs Recognition [Python, Ultralytics-YOLOv8, Tensorflow, Streamlit]: Designed a state-of-the-art traffic sign recognition model utilizing YOLOv8 alongside Faster R-CNN algorithms. Enhanced accuracy to identify real-time road signs in varied environmental conditions with precision. ate Management System (C#, Window forms, MySQL, Visual Studio]: Designed and developed a full fledged cafe management system for managing and tracking of products and sales. cedamic Resource Management System [Java, Scene Builder, JavaFX, Eclipse, MySQL]: Developed a desktop application for the management of the clothing store. Work Experience Data Science Intern May 2023 - July 2023 orked as data science remote Intern at CodeClause on multiple datascience projects kills & Tools Leadership, Interpersonal Skills, Communication, Problem Solving echnical Skills Python, C++, C#, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Chroma DB, Langchain, Ollama, ava, Natural Language Processing, models fine tuning, Docker, Kubernetes, Git, Github, DVC, OpenCV, React js, Node js, Express js chievements 100 percent merit-based scholarship in college Trainings I Certification Foundations of Project Management (Google) Hyperparameter Tuning( Deep Learning Al) ctivities orked as Usher in Job Fair 2024 at FAST Playing Strategy games, Sketching FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Hammad Qaiser is a Computer Science graduate specializing in Artificial Intelligence and Machine Learning, with practical experience in developing deep learning models for computer vision and time series analysis. He has completed a data science internship and built multiple projects involving TensorFlow, PyTorch, and MLOps tools, demonstrating proficiency in full-stack integration and model deployment.
Skills (AI)
["Python", "TensorFlow", "PyTorch", "Deep Learning", "Computer Vision", "Natural Language Processing", "MLOps", "Docker", "Kubernetes", "React", "Node.js", "SQL", "Git", "Streamlit", "YOLOv8", "Langchain", "Ollama"]
Status: ai_done
Provenance
Source file: —Created: 1777724106