M. Nauman Shahid

Ambitious Engineering Intern keen to contribute boundless enthusiasm while expanding personal competencies. Dedicated to absorbing and leveraging new techniques and skills. Ready to positively impact all new and ongoing projects through diligent pursuit of exceptional final products.

• Coursera, Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models
• Udemy, Machine Learning A-Z, 100 Days of Code: Python Bootcamp

• ChatNet (DBMS project)– A social media site that leverages the power of LLMs, embeddings and vector database to recommend users based on their description in natural language and by extension working as an all-in-1 site. The users can connect with other users based on their specified interests and traits.
• Diffusion Model, Built & trained a diffusion model and adding control using context embeddings to generate images of cars of the make given in prompt.
• Semantic Segmentation using U-Net, U-Net implementation in PyTorch for semantic segmentation on Carvana dataset.
• Classification, Built a classifier by finetuning Resnet-152 pretrained model.
• Drowsiness Detection using Yolo, Drowsiness detection using Ultralytics Yolo model with real time detection.
• FashionMNIST classifier, Built a CNN classifier to classify on the FashionMNIST dataset.