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Miankhalil UllahMU
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Miankhalil Ullah

@miankhalilullah

AI-focused computer scientist specializing in deep learning, computer vision, and intelligent system development.

Pakistan
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What I'm looking for

I seek roles where I can apply and expand my deep learning and computer vision skills, contribute to AI-driven projects, and work in collaborative, growth-oriented teams.

I am a computer scientist specializing in artificial intelligence, with a strong academic foundation from Abdul Wali Khan University Mardan and practical experience in machine learning and deep learning.

My final-year project applied Inception V3 to advanced bone fracture classification, demonstrating hands-on expertise in model development, image preprocessing, and transfer learning.

During a six-month internship at the Institute of West London, Islamabad, I contributed to predictive and classification models, collaborated on computer vision research, and presented findings to stakeholders.

I am proficient in Python, C/C++, TensorFlow, PyTorch, and common data science libraries, and I am passionate about deploying AI-driven solutions to real-world challenges while continuing to learn and grow in intelligent automation.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

AM

Abdul Wali Khan University Mardan

Bachelor of Science (Hons) in Computer Science, Computer Science / Artificial Intelligence

2021 -

Activities and societies: Final year project: advanced bone fracture classification using deep learning with Inception V3

Pursuing a BS(Hons) in Computer Science with specialization in Artificial Intelligence, focusing on machine learning, deep learning, and computer vision.

GG

Govt Higher Secondary School Gandigar

FSc (Higher Secondary Certificate), Pre-Engineering/Science

2019 - 2020

Grade: 70%

Completed intermediate education (FSc) with a focus on pre-engineering/science subjects, achieving a 70% score.

TS

Tameer-E-Seerat Public School Seri

Secondary School Certificate (SSC), Secondary Education

2017 - 2018

Grade: 70%

Completed secondary school certificate (SSC) with a 70% score.

Tech stack

Software and tools used professionally

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