jamal shahid
@jamalshahid
Experienced computer vision engineer proficient in AI algorithm development.
What I'm looking for
I am an experienced computer vision engineer with a strong proficiency in AI algorithm development, particularly in the realm of deep learning and natural language processing. Currently, I am spearheading innovative projects at Evantagesoft Pvt. Ltd, where I leverage Generative Pre-trained Transformers (GPT) to push the boundaries of AI innovation. My role involves leading data preprocessing efforts to ensure high-quality input for language models, actively participating in the fine-tuning process, and optimizing models to meet specific project requirements.
Previously, I worked at the Neurocomputation Lab, where I led a project focused on diabetic retinopathy screening using AI for a portable mobile-based fundus device. I developed deep learning models for binary classification and implemented hyperparameter tuning to achieve high accuracy and sensitivity. My experience also includes creating machine vision systems for industrial inspection, collaborating with industry leaders, and presenting research findings at conferences. I am passionate about contributing to organizational goals and success in a rapidly evolving field.
Experience
Work history, roles, and key accomplishments
Data Scientist
Evantagesoft Pvt. Ltd
Jan 2024 - Present (1 year 4 months)
Spearheading a project leveraging Generative Pre-trained Transformers (GPT) and leading data preprocessing efforts to ensure high-quality input for the language model. Actively involved in fine-tuning pre-trained language models for project-specific requirements.
AI Engineer
Neurocomputation Lab, NCAI, NEDUET
Jul 2023 - Jan 2024 (6 months)
Led a project on diabetic retinopathy screening using AI for a mobile-based fundus device. Developed deep learning models for classification, optimized model performance, and integrated AI models into a mobile app for real-world deployment.
Research Assistant
Neurocomputation Lab, NCAI, NEDUET
Jul 2021 - Jun 2023 (1 year 11 months)
Developed a machine vision system for automated defect detection on plastic bottles using deep learning. Collaborated with P&G for system integration and deployed the system on Nvidia Jetson Xavier for edge computing.
Education
Degrees, certifications, and relevant coursework
NED University of Engineering & Technology
Master of Science, Computer Science
2022 -
Currently pursuing a Master of Science in Computer Science & Information Technology, focusing on advanced topics in computer science and information technology.
NED University of Engineering & Technology
Bachelor of Engineering, Electrical Engineering
2016 - 2020
Completed a Bachelor of Engineering in Electrical Engineering, gaining foundational knowledge in electrical systems, circuits, and technology applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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