Saksham Chaurasia
Development
Uttar Pradesh, India
Skills
Machine Learning (ML)
About
SAKSHAM CHAURASIA's skills align with IT R&D Professionals (Information and Communication Technology). SAKSHAM also has skills associated with System Developers and Analysts (Information and Communication Technology). SAKSHAM CHAURASIA has 5 years of work experience.
Work Experience
AI & Computer Vision Engineer
CamerEye
December 2021 - Present
- USA ? https://camereye.ai/ - Collaborated in the research & development of an end-to-end pipeline for detecting & tracking objects like person/pet in real-time and ensuring their safety through efficient distress detection around the pools. - Reduced 15% execution time from development to production by defining the roadmap, and structured pipeline from data processing to deployment. - Designed and implemented a sophisticated tracking algorithm that achieved state-of-the-art results on the MOT benchmark with an accuracy improvement of almost 30% in detection.
Computer Vision Engineer
Tech Mahindra
July 2021 - December 2021
- ? https://www.techmahindra.com/ - Led the development of an end-to-end pipeline for efficiently managing the assembling & kitting process for large warehouses & factories using computer vision techiques. - Implemented & deployed efficient deep learning models for object detection, tracking, pose estimation, and activity recognition from videos and also brought down the computation time under 500ms. - Design and execute well-engineered, easy-to-maintain, reliable, and bug-free code for various company applications in collaboration with other Al engineers, programmers, and software personnel.
Machine Learning Engineer
Signy Advanced Technology
July 2019 - July 2021
- ? https://www.signy.io/ - Led the research & development, for building robust Identity Management algorithms such as Face Match, OCR, and Anti-Forgery, liveliness, etc. - Developed and achieved state-of-the-art results on the Face Match algorithm with 99.38% accuracy on the Faces in the Wild dataset and a response time of less than 100ms. - Designed & implemented a highly efficient OCR algorithm from scratch for extracting information from ID cards like Aadhaar, Driving License, Passport, etc with an error rate of less than 5%.
AI Research Engineer
Shantou University
February 2019 - May 2019
- ? http://english.stu.edu.cn/ - Contributed in research & development of an efficient algorithm for Breast Tumor Detection, Classification, and Localization. - Developed a new deep learning segmentation network "GRA U- Net" which clocked an accuracy of 99% and F1 measure of 92% & Published the work in the Journal of Medical Imaging and Health Informatics.
Education
