Hussein Ahmad
NUST
· 2026
Email
hussein.riaz.ahmad@gmail.com
Phone
923245506757
GitHub
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Academic
Program
BSCS
CGPA
3.49
Year
2026
Education
SEECS
Address
HOUSE NV 18, NUST, SECTOR H-12,ISLAMABAD , Islamabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Python, Java, PyTorch, Tensorflow, Colab, Machine Learning, Deep Learning, Computer Vision, Intrusion Detection, Price Prediction, Sign Language Recognition
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Hussein Ahmad Cell: 923245506757 | Email: hussein.riaz.ahmad@gmail.com LinkedIn: https://www.linkedin.com/in/hussein-ahmad-b78b25262/ Address: HOUSE NV 18, NUST, SECTOR H-12,ISLAMABAD , Islamabad , Pakistan PROFESSIONAL PROFILE Computer Science undergraduate student at NUST with hands-on experience in machine learning and deep learning through industry internships. Strong background in model training, research comparison, and applied AI projects, including intrusion detection, price prediction, and computer vision tasks. Proficient in Python, Java, and core ML/DL concepts, with a solid academic record and research-oriented final-year project in sign language recognition. EDUCATION Bachelor of Science in Computer Science School of Electrical Engineering & Computer Science , Islamabad , 3.49 (2026) INTERNSHIP EXPERIENCE National Center of Artificial Intelligence 07-Jul-2023 - 05-Aug-2023 - Learnt about AI and Machine Learning Models. - Learnt about the inner working of Machine Learning Models, and applied them. - Compared research papers regarding ML performance in Intrusion Detection. ZAYTRICS 09-Jul-2024 - 09-Sep-2024 - Deployed AI models on Cryptocurrency prices. - Created a trading bot to predict prices. FINAL YEAR PROJECT Signify: An intelligent interface for real-time Sign Language recognition This project proposes a real-time, two-way communication application that leverages a virtual avatar in order to facilitate communication between abled and differently-abled persons. It is designed to be accessible and easy to use, and does not rely on extraneous hardware such as specialized sign language gloves, and instead uses computer vision based techniques. This approach ensures affordability and widespread usability of the system, while simultaneously providing an engaging and intuitive medium for communication via an avatar driven interface. This system moreover aims to be highly responsive and have minimal setup requirements. TECHNICAL EXPERTISE Python I have experience coding in the Python programming language. Java I have experience coding in the Java programming language. PyTorch and Tensorflow I have experience doing machine learning and deep learning through the PyTorch and Tensorflow libraries. Colab I have experience with the use of the platform of Colab when undertaking machine learning, deep learning and reinforcement
AI enrichment
Hussein Ahmad is a Computer Science undergraduate at NUST with a 3.49 CGPA, specializing in machine learning and deep learning. He has completed internships at the National Center of Artificial Intelligence and Zaytrics, focusing on intrusion detection and cryptocurrency price prediction. His final year project involves developing a real-time sign language recognition system using computer vision.
Skills (AI)
["Python", "Java", "PyTorch", "TensorFlow", "Machine Learning", "Deep Learning", "Computer Vision", "Intrusion Detection", "Cryptocurrency Prediction", "Sign Language Recognition"]
Status: ai_done