Haseeb R.

🥑 Developing and maintaining the model lifecycle management system to streamline ML operations from training to deployment 🚀 Feature development and maintenance of the LUNIT Insight Engine 🍀 Development of continuous release cycles to ensure reliable and efficient model release to production 📝 Working on coding standards and best practices

I am mainly working on improving and optimizing the Pivo Tracking system. https://pivo.ai/ - Object Detection and Tracking - Person Reidentification - Face recognition - Model quantization - QA Testing amd Evaluation

• Computer Vision • Machine learning • MLOps • Visual SLAM

• Point Cloud visualization, classification, segmentation, and registration with deep learning • Medical image detection, segmentation, and visualization • Deep learning-based classification, detection, and segmentation models • Feature detection in images, point clouds, and CT data • Integration of deep learning into Unity3d (Barracuda/Onnxruntime) and iOS (swift/CoreML) • Python, C#, Swift, MONAI, 3D Slicer

• Machine Learning • Computer Vision • Alzheimer disease classification using deep learning. • Dealing with medical data scarcity by using attention, contrastive learning and GAN architectures. • Survey of deep learning techniques to deal with data scarcity. • Relativistic Average Least Squares GAN (RaLsGAN) and Progressive Growing of GANs for medical image generation. • Residual Attention Network, Convolutional Block Attention Module, CNNs, Transfer Learning, Supervised Contrastive Learning, SimCLR

• Defect detection in composite materials using ultrasonic wave propagation imaging (UWPI) • Defect detection and localization in composite materials using 1D signals and deep CNNs • Defect detection and localization using 2D images from UWPI results and deep learning • Defect detection in composite materials using machine learning • Deep Learning / CNNs • TensorFlow Object Detection API, Faster RCNN, RFCN, MobileNets • Transfer Learning

• Responsible for Team Building • Responsible for Speaker and Audience Curation • Head External Relations Team.

• Organizing and management of the whole gaming event

• Management work in all the events organized by SPEL • Organizing all the meetings of the society • Staying in contact with all the society members and spreadig news about the upcoming events • Helping in bringing new ideas in the society about events and competitions • Contacting and informing all the ambassadors and participants of the events about details of the event

- Artificial Intelligence - Machine / Deep learning - Computer Vision - Big Data and AI - Advanced Image Restoration and Enhancement - Image Dehazing - Image Classification - Object Detection - AI in Aerospace - GANs