Spring Boot Machine Learning

HEMANTH PASULA

https://www.linkedin.com/in/hemanthpasula/ 623-***-**** # ******************@*****.***

Education

Arizona State University, Arizona August 2022 – May 2024

Masters of Science - Computer Science CGPA: 4.0/4.0

Relevant Coursework: Data Visualization, Data Mining, Data Processing at Scale, Semantic Web Mining, Database Management System

Implementation, Info Assurance and Security, Mobile Computing, Foundations of Machine Learning, Knowledge Representation.

Technical Skills

Programming Languages: Java, Python, HTML, CSS

Databases: MySQL, NoSQL, Oracle.

Cloud & Big Data: AWS.

Developer Tools: Git, Docker, GitHub, Jenkins.

Frameworks & Technologies: Spring, Spring Boot, MuleESB, react, Junit.

Integration & APIs: RESTful APIs.

Other: XML, JSON, Operating Systems, Matlab.

Experience

Graduate Assistant Teaching, CSE 535, CSE 180 - Arizona State University, US August 2023 – March 2024

Facilitated instruction in Mobile Computing & Computer Litercay to 178 students, including hands-on lab assignments and

machine problem solving. Developed automated tests for accurate assignment evaluation and provided student support.

Senior Software Development Engineer - Capgemini, India November 2021 – August 2022

• Collaborated with clients on architectural discussions, influencing the adoption of technical solutions

• Designed and implemented microservices architecture using Spring Boot, enhancing scalability, maintainability of

applications.

• Developed and maintained Java-based applications, ensuring high performance and responsiveness to requests from the

front-end.

• Integrated microservices with SQL databases, optimizing data retrieval processes and ensuring data integrity.

Software Development Engineer - Capgemini, India November 2020 – October 2021

• Constructed and developed scalable RESTful APIs and integration solutions, achieving improvement in system efficiency

using Mule ESB and Anypoint Studio.

• Implemented Munit framework and established QA processes, reducing deployment errors by 40% through a streamlined

CI/CD pipeline.

• Secured SOAP-based APIs and enforced LDAP Security Manager policies, enhancing application security.

• Led Agile ceremonies and conducted code reviews, decreasing configuration errors and improving team productivity.

• Delivered operational support and resolved complex issues, maintaining an SLA rate of 15% for ticket management.

Internship - Capgemini, India January 2020 – November 2020

Contributed to the development and maintenance of microservices using Spring, Spring Boot, REST APIs, and MuleSoft.

Projects

Online Shopping June 2018 - August 2018

• Engineered a complete data pipeline integrating Kafka, Spark, Hadoop, Python, MySQL, and Superset.

• Developed and deployed Spring Boot microservices, improving application scalability and reducing deployment time.

• Architected microservices to manage eCommerce data, leading to a 25% increase in system reliability and performance.

• Optimized data integration processes, enhancing real-time data analytics capabilities.

• Employed error handling and logging mechanisms, which decreased system downtime by 20%.

Inventory Management System January 2019 - April 2019

• Constructed and executed a scalable Java-based microservices architecture to streamline inventory processes, resulting

increase in system efficiency.

• Established RESTful APIs with Spring Boot, integrating with existing databases which improved data retrieval speed

by40%.

• Enhanced microservice performance through code refactoring and JVM tuning, achieving reduction in response times.

• Deployed services using Docker and Kubernetes, ensuring seamless scaling and management, and reducing deployment.

Certifications

• Earned MuleSoft Certified Developer Level 1 – Salesforce.

• Achieved Cloud Computing Certificate – NPTEL.

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