bl pooja
@blpooja
Detail-oriented AI engineer specializing in vehicle inspection systems.
What I'm looking for
I am a dedicated AI engineer with extensive experience in developing automatic inspection systems for vehicles and industrial applications. My work at Toyota involved creating an AI-based vehicle inspection system that achieved a remarkable accuracy of 99% while inspecting various models like the Innova and Fortuner across 250 checkpoints. This project not only honed my technical skills but also reinforced my commitment to precision and efficiency in engineering.
In addition to my work with Toyota, I contributed to the Steel Surface Inspection System at Tata Steel, where I successfully detected over 35 types of defects in steel products. My hands-on experience with deep learning models and real-time video analysis has equipped me with the ability to tackle complex challenges in dynamic environments. I thrive in collaborative settings, leveraging my problem-solving skills to ensure optimal performance and quality in every project.
Experience
Work history, roles, and key accomplishments
Steel Surface Inspection System
Tata Steel, JSW
Designed and implemented a steel surface inspection system for Tata Steel and JSW, focusing on camera-based defect detection and width measurement. Identified over 35 types of steel defects in various products and accurately measured the width of steel slabs at high temperatures.
Social Distance Monitoring System
COVID19 Initiative
Developed a social distance monitoring system using deep learning to analyze real-time video streams from CCTV cameras. The system detected people, monitored distances, and generated voice alerts for violations, also incorporating face and mask detection, and temperature screening.
Automatic AI Vehicle Inspection System
Toyota
Developed an automatic AI-based vehicle inspection system for Toyota Innova and Fortuner models, covering 250 checkpoints including functional and parts inspection. Implemented camera-based inspection for specification checks, lamp functionality, and dashboard functionality, achieving 99% accuracy and high-speed processing.
Education
Degrees, certifications, and relevant coursework
B.V. Bhoomraddi College of Engineering & Technology
Masters of Technology, Computer Science
2017 - 2019
Grade: 2nd Rank
Activities and societies: Published an IEEE paper on a Machine Learning based project titled “Sentiment Analysis based Stock Market Prediction”. Completed a Coursera project network on optimizing TensorFlow Models for Deployment with TensorRT.
Pursued a Masters of Technology in Computer Science, achieving the 2nd rank in the program. Focused on advanced topics in computer science and deep learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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