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bl pooja

@blpooja

Detail-oriented AI engineer specializing in vehicle inspection systems.

India
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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my AI expertise to solve real-world problems.

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

TJ

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.

Education

Degrees, certifications, and relevant coursework

BT

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

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bl pooja - Steel Surface Inspection System - Tata Steel, JSW | Himalayas