neeharika moturu
@neeharikamoturu
Software developer at Schwäbische Werkzeugmaschinen GmbH who developed 20+ Java backend features.
GermanyWhat I'm looking for
At Schwäbische Werkzeugmaschinen GmbH, I developed more than 20 Java and Spring Boot backend features for industrial software used with machine tools. I also removed more than 2,000 artificial waits from the TypeScript frontend, making the application faster and more stable.
I tested software with JUnit, Mockito, and Postman, and planned tests for two product platforms with the test lead. Earlier, at Sampath Software Solutions, I tested applications against specifications and tracked reported defects through to resolution.
Experience
Work history, roles, and key accomplishments
Softwareentwicklerin
Schwäbische Werkzeugmaschinen GmbH
May 2023 - May 2026 (3 years)
Entwickelte über 20 Backend-Funktionen mit Java und Spring Boot, führte Unit- und Integrationstests durch und entfernte über 2.000 künstliche Wartezeiten im TypeScript-Frontend. Arbeitete in einem Scrum-Team und plante Tests für zwei Produktplattformen.
Softwaretesterin
Sampath Software Solutions
Jul 2015 - Jul 2017 (2 years)
Führte funktionale Tests von Anwendungen anhand der Spezifikation durch, erstellte Fehlerberichte und arbeitete eng mit der Entwicklung in kurzen Release-Zyklen zusammen.
Education
Degrees, certifications, and relevant coursework
Deutschkurs
A2, German Language
2026 -
Ongoing German course at level A2.
Amazon
Lernprogramm, C# and .NET
2026 -
Ongoing self-paced learning program for C# and .NET.
IBM SkillsBuild
Project Management Fundamentals, Project Management
2026 - 2026
Completed courses in Project Management Fundamentals and Lifelong Professional Skills.
Claude Academy
Claude Code 101, AI-assisted Software Development
2026 - 2026
Completed the Claude Code 101 course on AI-assisted software development with Claude Code.
University of Liverpool
Master of Research, Computer Science
2020 - 2022
Grade: Merit
Master of Research in Computer Science, completed with Merit. Thesis analyzed unemployment trends using machine learning and deep learning methods.
Jawaharlal Nehru Technological University Kakinada
Bachelor of Technology, Computer Science & Engineering
2011 - 2015
Grade: B (Good)
Bachelor of Technology in Computer Science & Engineering, awarded with grade B (Good).
Tech stack
Software and tools used professionally
Availability
Location
GermanyAuthorized to work in
Salary expectations
Job categories
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