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kajal shivgan

@kajalshivgan

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Machine Learning & Automation Engineer specializing in Python-driven computer vision and edge AI.

India

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What I'm looking for

I seek roles applying Python-based ML and automation to real-world computer vision and edge AI problems, in collaborative teams focused on production-grade, scalable solutions and impact.

I am a Machine Learning & Automation Engineer with 4+ years of experience building intelligent automation frameworks and deploying ML-driven solutions across automotive and industrial domains.

I design production-grade Python automation systems using modular OOP patterns, structured logging, and configuration-driven pipelines to convert research and test scripts into maintainable, scalable solutions.

I have built end-to-end image-processing and deep learning pipelines for automated vehicle display validation and developed predictive maintenance and structural health monitoring systems, optimizing models for edge deployment with TensorFlow Lite and ONNX.

I collaborate cross-functionally to integrate automation and analytics, automate reporting, and deliver reproducible data pipelines, while publishing peer-reviewed research and contributing to an Indian patent for a handheld detector for characterizing metal objects in concrete.

Experience

Work history, roles, and key accomplishments

Current

Senior Engineer

Current

L&T Technology Services

Mar 2024 - Present (1 year 11 months)

Designed and developed production-grade Python automation frameworks and end-to-end image processing and deep learning pipelines for BMW vehicle display validation, reducing maintenance overhead and improving visual anomaly detection robustness.

Python OpenCV CNN Pandas NumPy SQL TensorFlow Test Automation

Project Research Associate

IIT Bombay

Dec 2020 - Jan 2024 (3 years 1 month)

Developed predictive maintenance and structural health monitoring systems using time/frequency feature extraction and supervised/unsupervised deep learning, and optimized models for edge deployment to enable real-time fault detection.

Python TensorFlow Onnx Tensorflow Lite Signal Processing Feature Extraction Anomaly Detection Edge Data Pipelines

Education

Degrees, certifications, and relevant coursework

K. J. Somaiya College of Engineering

Bachelor of Technology, Electronics Engineering

2017 - 2020

Grade: CGPA: 8.81

Completed a Bachelor of Technology in Electronics Engineering with a focus on embedded systems and machine learning applications, graduating with a CGPA of 8.81.

Veermata Jijabai Technological Institute

Diploma, Electronics Engineering

2014 - 2017

Grade: 84.75%

Completed a Diploma in Electronics Engineering with a percentage score of 84.75, covering core electronic systems and practical lab work.

I.E.S. Raja Shivaji Vidyalaya

Matriculation, Secondary Education

2013 - 2014

Grade: 91.20%

Completed Matriculation from the Maharashtra State Board with a percentage score of 91.20.

Coursera / University of Michigan

Online Course, Programming

Completed courses including 'Programming for Everyone (Getting Started with Python)' and 'Python Data Structures' to strengthen Python programming skills.

IBM (Coursera)

Online Course, Data Science

Completed 'Databases and SQL for Data Science with Python' to gain practical SQL and data-handling skills for analytics workflows.

DeepLearning.AI (Coursera)

Online Course, Machine Learning

Completed machine learning courses including 'Supervised Machine Learning: Regression and Classification' and 'Advanced Learning Algorithms' focusing on ML theory and practical implementation.