An Energetic Deep Learning Enthusiast, experienced in the latest computing technologies and A.I including Python, Deep Learning, Computer Vision and Machine Learning. Currently working as a Research Assistant at Bioinformatics Research Lab University of Engineering & Technology Lahore.
I have been working on the applied AI and Deep Learning from last two years. You can see my work timeline below.
Jan 2020 - Present
Working with Dr. Usman Ghani Khan on detection and prediction of one of the rare and lethal skin cancer Acral Lentiginous Melanoma in dermoscopic images. In this research project we are developing a system which will detect and predict the melanoma in early stages using dermoscopic images. I am developing a CNN from scratch in Keras and Tensorflow.
Aug 2019 - Oct 2019
Worked with Dr. Umair Mateen Khan in his startup as a Computer Vision Engineer and developed a vehicles registration plate detection system. I trained a custom Mask R-CNN model to detect and segment the vehicle plate where our objective was to read the numbers in the registration plate. I learnt about OpenCV and Data Science in great detail under kind supervision of Dr Umair.
Sep 2018 - Nov 2018
I built a small image classification neural network using Keras using cars dataset from Google Images. I learnt about Deep Learning and Computer Vision Basics, from Stanford CS231n-Convolutional Neural Networks for Visual Recognition course & practical aspects of the applied deep learning in computer vision.
Aug 2018 - Aug 2020
3.78/4.0 CGPA – 94.25%
Course Work: Machine Learning, Deep Learning, SQA, Research Methods
THESIS: ACRAL LENTIGINOUS MELANOMA DETECTION IN DERMOSCOPIC IMAGES USING DEEP LEARNING
Oct 2014 - June 2018
3.63/4.0 CGPA – 90%
Course Work: Computer Networks, A.I, Network Security, Cloud Computing
PROJECT: DETECTION AND CLASSIFICATION OF EMERGENCY VEHICLES
I have done some of the coolest projects in Deep Learning & Machine Learning.
In this project I developed a deep learning model in Keras and Tensorflow using CNN. Trained a custom CNN Model using Transfer Learning and from scratch.
I developed a classifier for Steel Defect Detection using NEU Dataset. The task was to classify an image of steel into 6 defects which are common during production sometimes. Used a custom CNN and also used Transfer Learning.
I developed a CNN which was able to detect and classify the firearms in images using deep transfer learning. ResNet 50 was finetuned to train the classifier.
These are simple python codes which are helpful in deep learning and computer vision projects..
Using the leaf dataset of tomatoes plant I developed an automated system to distinguish the healthy plants from unhealthy. This will help in increase production of crops.
I have developed two CNNs to detect and classify the skin cancer. I am also developing a system for the detection of a rare skin cancer i.e. Melanoma.
"One machine can do the work of fifty ordinary men. No machine can do the work of one extraordinary man."
Sir Syed Hall UET Lahore
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