Danish Javed
@danishjaved1
Aspiring AI engineer with expertise in machine learning and computer vision.
What I'm looking for
I am a passionate AI engineer currently pursuing my Bachelor of Science in Artificial Intelligence at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. My academic journey has been complemented by hands-on experience in machine learning and computer vision, where I have successfully developed models that enhance diagnostic accuracy in medical imaging.
During my recent internship at the University of Europe for Applied Sciences, I fine-tuned Visual BERT for Vision-Language Models, achieving a notable 60% accuracy in extracting disease insights from X-ray visuals. My work has been recognized in various publications, showcasing my commitment to advancing AI-assisted diagnostics. I thrive in collaborative environments and am eager to contribute to innovative projects that leverage AI for real-world applications.
Experience
Work history, roles, and key accomplishments
Research Intern
University of Europe for Applied Sciences
Jun 2024 - Aug 2024 (2 months)
Compiled data from multiple X-ray datasets to create a comprehensive dataset of 4,083 entries. Fine-tuned Visual BERT for Vision-Language Models (VLM) to extract disease insights from X-rays visuals and clinical history, achieving 60% accuracy. Contributed to diagnostics research through pathology image analysis, with an abstract accepted and published.
Research Assistant
Ghulam Ishaq Khan Institute of Engineering Sciences and Tech
Feb 2024 - Apr 2024 (2 months)
Designed and trained a U-Net segmentation model on a segmented images dataset for detecting bone loss in dental implants, achieving a 65% IoU score. Collaborated on medical image segmentation projects by annotating datasets containing 200+ samples to enhance workflows in pathology image analysis.
Machine Learning Engineer
Eziline Software House
May 2023 - Aug 2023 (3 months)
Developed a CNN classification model for bone fracture detection, achieving 94% accuracy and built an interactive application using Gradio. Implemented a real-time helmet detection system with 92% accuracy by training YOLOV5 for object detection. Built RAG models to create a personalized chatbot, improving user engagement by 60%.
Education
Degrees, certifications, and relevant coursework
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Bachelor of Science, Artificial Intelligence
Activities and societies: Vice President, Association for Computing and Machinery; Executive Council Member, GIK Mathematics Society.
Studied core concepts in Artificial Intelligence, including machine learning, computer vision, and natural language processing. Gained practical experience through coursework and projects, focusing on areas like deep learning and data analysis.
Tech stack
Software and tools used professionally
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