Open to opportunities

Swastik Desai

@swastikdesai

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Software engineer passionate about cloud-native technologies and automation.

Japan

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What I'm looking for

I seek a dynamic role that fosters innovation and offers growth opportunities.

I am a dedicated Software Engineer with a strong background in cloud-native technologies, currently working at Rakuten Symphony in Tokyo. My journey began at the Indian Institute of Technology (IIT) Bombay, where I earned my Bachelor of Technology with a CPI of 8.27. Since joining Rakuten, I have contributed significantly to the launch of Europe’s first fully virtualized 5G mobile network, developing over 10 Spring Boot REST APIs that support more than 1 million active users.

My expertise lies in automating deployment processes and enhancing system performance. I successfully automated the deployment of over 30 microservices using Jenkins and Kubernetes, achieving a 50% reduction in deployment time. Additionally, I have streamlined backend workflows with Python automation scripts, significantly reducing data processing times. I am passionate about leveraging technology to innovate and improve user experiences, and I thrive in environments that challenge my skills and creativity.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Rakuten

Dec 2022 - Present (2 years 5 months)

Contributed to the launch of Europe’s first fully virtualized 5G mobile network using cloud-native Open RAN technology. Developed over 10 Spring Boot REST APIs for the Rakuten Link app, improving service response times and deployment processes for microservices.

Java Spring Boot Kubernetes Jenkins Python Microservices React ArgoCD Kafka

MLOps Intern

Essentially AI

Jul 2022 - Oct 2022 (3 months)

Set up Docker environments and deployed data pipelines, enhancing deployment speed by 40%. Migrated pipelines to AWS, achieving 99.9% uptime and optimizing storage management with Python scripts.

Docker AWS Python Airflow Data Pipelines Deployment Automation Cloud Computing Optimization

ML Intern

Ernst & Young

Jun 2021 - Aug 2021 (2 months)

Reduced operational costs in the supply chain network using Python and Gurobi optimizer, saving $200K annually. Developed k-means clustering for customer segmentation and improved inventory forecasting accuracy.

Python Gurobi Machine Learning Data Analysis R Shiny Inventory Management Cost Optimization Clustering Supply Chain

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Bombay

Bachelor of Technology, Software Engineering

2018 - 2022

Grade: 8.27

Completed a Bachelor of Technology with a CPI of 8.27, focusing on software engineering principles and practices. Developed multiple Spring Boot REST APIs and contributed to various projects enhancing system performance and user experience.