Syed taha ali
NUST
· 2023
Email
taha.ali@seecs.edu.pk
Phone
90852117
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.67
Year
2023
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
Data science, ML, Machine learning, Deep Learning, CNN, ImageNet, GANs, TinyMl, TensorFlow Lite, Object detection, Embedded System, ARM7, LPC2148, Serial communication, .NET framework, Blockchain, IOT, 3D Captchas, Knotplotting
Interests / quote
I am an organized, motivated undergraduate student interested in data science, and ML. Previously worked on various projects that deal with machine learning and deploying the models on tiny embedded devices. Looking for opportunities that would help me in enhancing my skills and strengthen my knowledge in these domains.
Verbatim text
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Name: Syed taha ali Company: Seecs Phone: 90852117 Email: taha.ali@seecs.edu.pk Professional Profile I am an organized, motivated undergraduate student interested in data science, and ML. Previously worked on various projects that deal with machine learning and deploying the models on tiny embedded devices. Looking for opportunities that would help me in enhancing my skills and strengthen my knowledge in these domains. Education BE Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.67 HSSC PAEC Model College For Boys, Chashma , 924/1100 (2019) SSC PAEC Model College For Boys, Chashma , 928/1050 (2017) Internship Experience Signal processing and Machine learning lab, SEECS ( 15-Jul-2021 - 31-Aug-2021 ) Completed the courses on Machine learning and Deep Learning Specialization. Worked on models such as CNN, ImageNet, and GANs. Got familiarized with TinyMl and TensorFlow Lite and completed a project related to deploying an object detection algorithm on the ESP32 Cam module. NESCOM ( 23-Sep-2022 - 23-Nov-2022 ) Embedded System internee. Programming the ARM7-based LPC2148 microcontroller. Worked on the task of serial communication between the hardware ports and linking the serial communication to .NET framework-based web application developed by the CS team. COGNET LAB SEECS ( 15-Dec-2022 - 17-Mar-2022 ) Worked on two research projects one involving blockchain and IOT, this project aims to create securely locked freight containers. While the other is the new captchas building that cannot be detected by any ML/AI algorithms. Projects Forest Damage Detection Using Uneupervised Learning (FYP)- Collaboraion with TUKL-SEECS lab Detection and assessment of damaged forest areas through fires and diseases in Pakistan. The datasets are generated through remote sensing in collaboration with the government forestry departments and Kohsar University Murree and through open-source Google satellite imagery and with the help of NASA's ARSET t 3D Captchas Undetecdable by SOTA ML algorithms At COGENT lab SEECS I am working with a research team to develop captchas in 3D using the concepts of knotplotting such that they are unable or impossible to be detected by robots this study will help in secure browsing as nowadays simple captchas are very easily detectable through ML algorithms. Coursera/IBM-"What is data science?" Digital Certificate: https://coursera.org/share/95b7b749e8a0f17086041dc32a076baa
AI enrichment
Syed Taha Ali is an undergraduate Electrical Engineering student with a 3.67 CGPA, focusing on data science, machine learning, and embedded systems. He has completed internships involving TinyML deployment, embedded programming, and research in blockchain and 3D captchas.
Skills (AI)
["Machine Learning", "Deep Learning", "TinyML", "TensorFlow Lite", "CNN", "GANs", "Embedded Systems", "ARM7", "Serial Communication", "Blockchain", "IoT", "Python", ".NET Framework"]
Status: ai_done