Muhammad suleman ali Hamdani
NUST
· 2024
Email
sulemanlad8@gmail.com
Phone
923335298391
LinkedIn
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GitHub
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Academic
Program
BS in Computer Science
CGPA
3.73
Year
2024
Education
School of Electrical Engineering and Computer Science
Address
Islamabad , Pakistan
DOB
—
Career
Current role
Research Associate at the Smart Agritech Lab
Target role
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Skills
Arcgis, Convolutional neural networks, Recurrent neural networks, Computer vision, Data handling, Python, keras, c, c++, Google earth, Machine Learning, AI, Remote Sensing
Interests / quote
With a strong academic track record, a research background in AI and Machine Learning, and a strong commitment to open source ideals, I am poised to make a significant contribution into the AI space. Central to my professional ethos is an unwavering advocacy for open source data and collaborative research. I am currently engaged as a Research Associate at the Smart Agritech Lab, leading numerous projects relating to Satellite Imagery, Crop Classification and Synthetic Data Generation. At NUST, as a Computer Science Senior, I have consistently ranked in the top 5% in my batch as a merit scholar. My coursework spans a spectrum of disciplines, with a particular focus on Machine Learning, AI methodologies, and Remote Sensing technologies.
Verbatim text
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Muhammad suleman ali Hamdani Details Technical Skills Soft Skills Reference Cell: 923335298391 Email: sulemanlad8@gmail.com Address: HOUSE NUMBER 180, STREET NUMBER 91, SECTOR I- 8/4. Islamabad , Pakistan Arcgis Convolutional neural networks Recurrent neural networks Computer vision Data handling Python, keras Proficient in c & c++ Google earth Team workship Analytical thinking Team management Leadership and communication Multi tasking Team playing Coordination Name: Dr. shahzad younis Company: Smart agritech research center Phone: +923335436531 Email: muhammad.shahzad@seecs.edu.pk Professional Profile With a strong academic track record, a research background in AI and Machine Learning, and a strong commitment to open source ideals, I am poised to make a significant contribution into the AI space. Central to my professional ethos is an unwavering advocacy for open source data and collaborative research. I am currently engaged as a Research Associate at the Smart Agritech Lab, leading numerous projects relating to Satellite Imagery, Crop Classification and Synthetic Data Generation. At NUST, as a Computer Science Senior, I have consistently ranked in the top 5% in my batch as a merit scholar. My coursework spans a spectrum of disciplines, with a particular focus on Machine Learning, AI methodologies, and Remote Sensing technologies. Education BS in Computer Science School of Electrical Engineering and Computer Science , 3.73 A-levels Beaconhouse School System , 2A*s, 1A (2020) BSCS National University of Sciences and Technology , 3.73 (2024) O levels Beaconhouse School System , 6A*s, 2As (2018) Internship Experience Aga Khan Health Services, Pakistan ( 01-Feb-2023 - 01-Jun-2023 ) MAANZ AI ( 01-Jun-2022 - 01-Sep-2023 ) Smart Agritech Research Center ( 01-Jun-2023 - 01-Jun-2024 ) National University of Sciences and Technology ( 01-Oct-2022 - 01-Jan-2023 ) National University of Sciences and Technology ( 01-Jan-2023 - 01-Jun-2023 ) National University of Sciences and Technology ( 01-Jun-2023 - 01-Jul-2023 )
AI enrichment
Muhammad Suleman Ali Hamdani is a recent BS Computer Science graduate from NUST with a 3.73 CGPA and a research background in AI and Machine Learning. He has practical experience as a Research Associate at the Smart Agritech Lab, focusing on satellite imagery, crop classification, and synthetic data generation.
Skills (AI)
["Python", "Keras", "C", "C++", "Computer Vision", "Convolutional Neural Networks", "Recurrent Neural Networks", "ArcGIS", "Google Earth", "Data Handling", "Machine Learning", "Remote Sensing"]
Status: ai_done