Hafiz Ahmed Hassan Chohan
NUST
· 2025
Email
ahmedhsn710@gmail.com
Phone
923204740533
LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
3.62
Year
2025
Education
SEECS
Address
Phalia , Pakistan
DOB
—
Career
Current role
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Target role
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Skills
Machine Learning, Computer Vision, Deep Learning, AI, Traffic violation detection, Medical data annotation, Fracture detection, Landmark detection, Autonomous drones, Smart cities
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Hafiz Ahmed Hassan Chohan Cell: 923204740533 Email: ahmedhsn710@gmail.com Address: GHAZALI JUNIOR CAMPUS PHALIA:MAIN GUJRAT MANDIBAHAUDDIN ROAD. Phalia , Pakistan To be furnished upon request. Professional Profile I am a Machine Learning Engineer with a deep passion for research in Computer Vision (CV) and Deep Learning (DL). My research journey began with a strong curiosity about AI’s ability to solve real-world problems, leading me to work on various impactful projects. As a Research Assistant at PakThai Lab, I collaborated on developing a real-time traffic violation detection system, which fueled my interest in applying AI to smart cities. Additionally, I contributed to projects like a web-based medical data annotation platform, aimed at automating fracture detection in X-rays, and a landmark detection system for autonomous drones. I am particularly driven by the potential of AI to transform industries, and I aim to continue pushing the boundaries of AI research, while working towards publishing my first research paper. My focus is on innovative projects that bridge theory with real-world applications in autonomous systems, healthcare, and urban technologies. Education BS in Computer Science School of Electrical Engineering and Computer Science , 3.62 Matric / O levels , (2019) Intermediate / A levels , (2021) Computer Science SEECS , 3.62 (2025) Internship Experience Signal and Machine Learning Lab ( 08-May-2023 - 28-Jul-2023 ) InLights ( 04-Mar-2024 - 24-May-2024 ) PakThai Lab NUST ( 01-May-2024 - 31-Mar-2025 ) Walee Technologies ( 13-May-2024 - 27-Apr-2025 )
AI enrichment
Hafiz Ahmed Hassan Chohan is a recent Computer Science graduate with a 3.62 CGPA and experience as a Research Assistant focusing on Computer Vision and Deep Learning. He has worked on projects involving real-time traffic violation detection, medical data annotation, and autonomous drone systems.
Skills (AI)
["Machine Learning", "Computer Vision", "Deep Learning", "AI Research", "Python", "Data Annotation", "Autonomous Systems"]
Status: ai_done