Asad imtiaz Malik
NUST
· 2023
Email
asadimtiazmalik@gmail.com
Phone
923312551167
LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
3.65
Year
2023
Education
SEECS
Address
Karachi , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Data engineering, Agile and waterfall methods, Cuda, Big data analytics, Python, java, c++, octave, Convolutional neural networks, Computer vision, Specialization in python, keras, resnet 18, NLP, Dialog Flow
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Asad imtiaz Malik Details Technical Skills Soft Skills Reference Cell: 923312551167 Email: asadimtiazmalik@gmail.com Address: B-1, Bhayani Extension, Block G, North Nazimabad, Karachi Karachi , Pakistan Data engineering Agile and waterfall methods Cuda Big data analytics Python/java/c++/octave Convolutional neural networks Computer vision Specialization in python Efficient Verbal communication Detail oriented Communication & interpersonal Quick learner Intuitive problem solving Time management Curiosity To be furnished upon request. Professional Profile A final year CS student who is seeking a job or a research position in artificial intelligence, computer vision or machine learning to gain learning experience and involvement in research and innovation. Education BS in Computer Science School of Electrical Engineering and Computer Science (SEECS) , 3.65 Internship Experience Freelance Research Projects ( 01-Mar-2022 - 30-Nov-2022 ) Vyro.ai ( 01-Jun-2021 - 30-Nov-2021 ) Machine Vision Lab (MachVis) ( 01-Jun-2022 - 30-Nov-2021 ) DCube Tech ( 01-Dec-2021 - 30-Jan-2022 ) TU Kaiserslautern (TUKL) Lab ( 15-Nov-2020 - 31-Dec-2021 ) Xypher Tech ( 01-Mar-2021 - 24-May-2022 ) Projects PIX2PIX GAN Implemented Pix2Pix GAN in keras to generate map images from a given satellite image. Smart HANs Developed a system that detects head posture movements like pitch, roll, and yaw in a video stream to guess the number a person is thinking of. Further details of the project is provided in the link (https://devpost.com/software/smart-hans) Emotion based Music Generation Developed a system that detects emotion of the person and generates music based on the VAD (valence, arousal and dominance) score at that instance. The project uses multimodal mapping of data from image domain to audio visual domain. We use resnet 18 backbone to extract features from the image which are used Wheat Phenology Estimation using remote sensing imagery This is my final year thesis which i am currently working on. This project involves curating a large repository of satellite and multispectral drone images to enable users to provide useful insights to farmers on promoting yield and employing pest control. We have developed a web application that keeps track
AI enrichment
Asad imtiaz Malik is a final-year Computer Science student with a 3.65 CGPA, specializing in AI, computer vision, and machine learning. He has gained practical experience through multiple internships and freelance research projects involving GANs, remote sensing, and multimodal data analysis.
Skills (AI)
["Python", "Java", "C++", "Octave", "Computer Vision", "Machine Learning", "Artificial Intelligence", "Convolutional Neural Networks", "Pix2Pix GAN", "ResNet", "Remote Sensing", "Data Engineering", "Big Data Analytics", "CUDA", "Agile", "Waterfall"]
Status: ai_done