Juveria Iram

Edinburgh

Summary

Highly adaptable software developer with strong foundations in computer science and coding principles. Proficient in Java and Python, with the ability to quickly learn and apply new technologies.

Overview

years of professional experience

Work history

Software Engineer

Bosch Global Software Technologies

Bengaluru

01.2023 - 05.2025

Automated build and integration processes for automotive software at Bosch using Jenkins, GitHub Workflows, Azure DevOps, Docker, and Kubernetes.
Delivered solutions to leading OEMs like Mercedes-Benz, Daimler, and Jaguar Land Rover.
Created Cron-based jobs in Jenkins and GitHub Actions for scheduled builds, tests, and deployments. Improved workflow efficiency and reduced the need for manual intervention.
Wrote automation scripts using Python, Groovy, and Java as part of the Integration Machine project to streamline CI pipelines.

Education

MSc - Computer Science

University of Edinburgh

United Kingdom

09.2025 -

Bachelor of Engineering - Computer Science

Adichunchangiri Institute of Technology

Chikmagalur, India

08.2018 - 07.2022

Skills

Programming Languages: Python, Java, Groovy

Frameworks: Django, Flask, FastAPI

DevOps Technologies: Microsoft Azure, Docker, Kubernetes, Terraform, Linux, Jenkins, GitHub Workflows, Kafka

Databases: PostgresSQL, MongoDB

Projects

Common monitoring dashboard for CI/CD tools : Developed and deployed a monitoring dashboard using Prometheus, which summarizes CI/CD activities of developers happening in tools like GitHub, Bitbucket, and Azure DevOps.

Classification and Detection of Oral Cancer Using Deep Learning : Designed an end-to-end application to detect oral cancer using images. Implemented HRNet (3 layer CNN) to enhance accuracy during classification, created a fully functional GUI using Tkinter & Python to improve accessibility.

Timeline