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@monjilchakraborty
AI DevOps Engineer skilled in cloud deployment and automation.
As a dedicated MLOps Engineer at Swarovski, I have successfully led the deployment of machine learning models on Google Cloud Platform, utilizing CI/CD pipelines for efficient version control. My expertise in automating model training and deployment through Kubeflow Pipelines has resulted in a seamless and efficient model delivery process. I am passionate about leveraging technology to enhance model performance and operational efficiency.
Previously, I served as a DevOps Engineer at SLB, where I implemented robust CI/CD pipelines and engineered customized applications to optimize workflows. My commitment to continuous improvement has fostered a culture of efficiency and innovation within my teams. With a strong foundation in Electronics and Computer Engineering from Vellore Institute of Technology, I am well-equipped to tackle complex challenges in the tech landscape.
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Work history, roles, and key accomplishments
Swarovski
Sep 2023 - Present (2 years 2 months)
Led the deployment of ML models on Google Cloud Platform using CI/CD pipelines. Automated model training and optimized data preprocessing, delivering an end-to-end automated solution for model delivery and performance understanding.
SLB (Formerly Schlumberger)
Sep 2022 - Sep 2023 (11 months)
Implemented CI/CD pipelines and integrated them for efficient code deployment. Developed a customized PowerApp and automated workflows in Azure DevOps to enhance operational efficiency and project timelines.
SLB (Formerly Schlumberger)
Aug 2021 - Sep 2022 (1 year 1 month)
Mastered Azure DevOps, resolving complex issues and enhancing team efficiency with tools like SonarQube and Jira Align. Focused on agile practices for improved project delivery.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Electronics and Computer Engineering
2017 - 2021
Grade: CGPA: 8.35/10.0
Completed a Bachelor of Technology in Electronics and Computer Engineering with a CGPA of 8.35/10.0. Coursework included Data Structures and Algorithms, Problem Solving, Object Oriented Programming, Database Management Systems, Machine Learning Algorithms, and more.
Software and tools used professionally
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