About

Sakshi Wagh is an accomplished Embedded Software Engineer with expertise in Computer Vision, Object Detection, and Deep Learning. Currently working as a Computer Vision Engineer at Foxconn Industrial Internet, she is responsible for implementing computer vision algorithms on network IP cameras in a LAMP server environment. She has produced source code in Python for continuous, scheduled, event-triggered recording, and playback on camera stream, enabling compatibility with cameras using MPEG4, H264, H265 codecs. Sakshi has added motion detection, face detection, person detection, object classification, region entrance, line cross detection, and fire detection using pre-trained models, as well as trained models using custom weights and datasets with Tensorflow, deep learning modules, and convolutional neural networks. She has created a dashboard tool in Python using OpenCV and QT library to display live streams from 16 IP cameras simultaneously. She has also worked closely with Android, iOS, and Web developers to integrate these features from server to front-end. Sakshi is a master's degree holder in Electrical Engineering from the Illinois Institute of Technology and a Bachelor of Technology in Electronics and Communications Engineering from JSS Academy of Technical Education, Noida. She has a strong technical background in Computer Vision, Software Engineering, Object Detection, Frontend, Python, AI, OpenCV, Object Detection, Deep Learning, Tensorflow, Neural Networks, iOS, Web, and Android. With 3.78 years of relevant experience, Sakshi has demonstrated her ability to maintain and debug source code, perform root cause analysis investigations when required, and design and implement AI inference servers. She is passionate about providing smarter surveillance solutions by optimizing object detection and recognition algorithms on network cameras. Sakshi is a highly motivated and results-driven professional with excellent communication and interpersonal skills.