Shakirali Vijapura

Shakirali Vijapura has a diverse work experience in the field of machine learning and engineering. Shakirali started their career as an Industrial Trainee at Transformers & Rectifiers (India) Ltd, where they gained knowledge about the manufacturing process of transformers and their integration and testing.

Shakirali then went on to work at ABB as an Internship Trainee, where they focused on deep learning object detection algorithms such as YOLO, SSD, and Faster-RCNN. Shakirali utilized Tensorflow Object Detection API and Transfer Learning techniques to train various types of objects. Shakirali also worked on image augmentation techniques to enhance the dataset and prevent overfitting.

Later, Shakirali joined Azine Technologies as a Machine Learning Engineer. In this role, they contributed to the development of modules like liveness detection and blur detection, which were integrated into the online verification system. Shakirali achieved an accuracy of 98% in liveness detection, used to distinguish real and fake photos, and a 75% accuracy in blur detection, used as a filter for clear images. Shakirali also played a role in the ID card verification module, which involved detection, recognition, post-processing, and OCR of ID cards.

Currently, Shakirali is working at Bombay Softwares as a Machine Learning Engineer, although the specific details and duration of this role haven't been provided.

Shakirali Vijapura completed their Bachelor of Engineering (BE) degree in Electrical Engineering from L.D. College of Engineering in 2018. Shakirali then pursued an MTech in 'Computer Science and Engineering' with a specialization in Data Science and Analytics from Ahmedabad University, where they studied from 2018 to 2020.

In addition to their formal education, Shakirali Vijapura also obtained several certifications to further enhance their knowledge and skills. Shakirali completed the Deep Learning Specialization from Coursera in August 2020. In June 2020, they acquired certifications in "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," and "Structuring Machine Learning Projects" from deeplearning.ai.