Enthusiastic Software Engineer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of complete SDLC lifecycle and DevOPS environment. Motivated to learn, grow and excel in the IT industry.
Hi, I’m
Sana Siddiqui
Berlin
Summary
Overview
4
years of professional experience
Work History
Charge Horizons
Intern
10.2022 - 12.2022
Job overview
- Assisted in product development in Golang.
- Coding and debugging new features.
- Collaborating with team members to develop new software
Ericsson Ltd
Associate Java Developer
01.2019 - 10.2021
Job overview
- Implementing robust solutions in Java 11, in readable, clean and precise code.
- Worked with a custom framework similar to SpringBoot.
- Well versed in JUnit test cases.
- Expert in investigating issues and bugs to determine the root cause and formulating corrective plan.
- Using logging as a common practice for troubleshooting.
- Completely involved in the end-to-end process of all projects including requirement gathering, solution design, implementation, testing and integrating the product successfully with the system.
- Wrote, modified and maintained software documentation and specifications.
- Working with both SOAP and RESTFUL APIs for 3PP integration.
- Well versed in using Git, JIRA, Jenkins, PlantUML, Postman, SOAPUI, Moba- Xterm and Eclipse for daily tasks.
Education
NUST, Military College of Signals PakistanPakistan
Masters of Science from Mobile
Financial, Computer Software Engineering, Machine learning
2019
University Overview
Research work focused on studying and designing various techniques for Recommender Systems, GPA: 3.75/4.00
Skills
Solid knowledge of JAVA
DevOps Integration
API Design and Development
SOAP and RESTful Web Services
End User Support
Software Deployment
Programming Languages: Java, Python
Timeline
Intern
Charge Horizons
10.2022 - 12.2022
Associate Java Developer
Ericsson Ltd
01.2019 - 10.2021
NUST, Military College of Signals Pakistan
Masters of Science from Mobile
Financial, Computer Software Engineering, Machine learning
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