Aimen Asad
@aimenasad
Final-year Computer Science student and Machine Learning Engineer.
What I'm looking for
I am a final-year Computer Science student with hands-on experience in developing and deploying deep learning models for real-world applications. My expertise lies in Python, PyTorch, TensorFlow, and various computer vision techniques. I am passionate about building scalable AI systems that can make a significant impact.
Throughout my academic journey, I have worked on several innovative projects, including a multi-robot system for real-time object detection and a transformer-based AI for bug report summarization. My technical skills encompass a wide range of tools and frameworks, allowing me to create end-to-end machine learning pipelines that are efficient and effective.
As a teaching assistant and lab demonstrator at FAST-NUCES, I have honed my ability to communicate complex concepts clearly and effectively. I am eager to contribute my skills and knowledge to a dynamic team focused on advancing AI technologies.
Experience
Work history, roles, and key accomplishments
Teaching Assistant, Programming for Finance
National University of Computer and Emerging Sciences
Sep 2023 - Present (1 year 8 months)
Assisted students with coursework and practical exercises in Programming for Finance. Provided guidance on Python programming concepts and financial modeling techniques.
Lab Demonstrator, AI & COAL
National University of Computer and Emerging Sciences
Jun 2023 - Dec 2023 (6 months)
Guided students through lab sessions for Artificial Intelligence and Computer Organization and Assembly Language courses. Provided hands-on support and clarified complex technical concepts.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences (FAST-NUCES)
Bachelor in Computer Science, Computer Science
Activities and societies: Teaching Assistant, Programming for Finance; Lab Demonstrator, Artificial Intelligence & COAL
Final-year Computer Science student with hands-on experience in developing and deploying deep learning models for real-world applications. Relevant coursework included Machine Learning, Deep Learning, and Data Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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