
Atul Jagtap
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Atul Jagtap
- Bis heute 3 Jahre und 8 Monate, seit Jan. 2023
Software Engineer 2
Dell Technologies
• Develop and maintain UI automation frameworks using Java and Selenide for Dell's server sizing platform. • Design and execute API automation tests using REST Assured to ensure application reliability and quality. • Manage automated test execution and CI/CD workflows using Git and Jenkins. • Utilize Allure Reports and qTest for test reporting, analysis, and test case management. • Serve as Scrum Master, facilitating Agile ceremonies and supporting effective team collaboration. • Contribute to feature enhan
- 10 Monate, März 2022 - Dez. 2022
Software Engineer
LTI - Larsen & Toubro Infotech
• Developed and maintained UI and API automation frameworks using Java, Selenium, Serenity BDD, and REST Assured. • Automated end-to-end test scenarios for payment processing systems, including credit card and alternative payment methods. • Executed functional, regression, and integration testing to ensure application quality and reliability. • Utilized Jenkins, Git, and Zephyr for CI/CD, version control, and test management activities. • Supported production issue analysis and validation, collaborating wit
- 8 Monate, Aug. 2021 - März 2022
Software Engineer
LTI - Larsen & Toubro Infotech
- 1 Jahr und 1 Monat, Juli 2020 - Juli 2021
Graduate Engineering Trainee
LTI - Larsen & Toubro Infotech
- 6 Monate, Jan. 2020 - Juni 2020
Intern
LTI - Larsen & Toubro Infotech
• Developed interactive data visualization dashboards using React to present and analyze financial data for internal proof-of-concept projects. • Built cross-platform mobile application prototypes using React Native and Expo for internal innovation initiatives. • Collaborated with team members to design responsive user interfaces and implement frontend features.
Ausbildung von Atul Jagtap
- 10 Monate, Jan. 2025 - Okt. 2025
Master of Science - MS
Liverpool John Moores University
Thesis: Enhancing SHAP Explanations with Concept-Level Abstractions for Improved Interpretability of News Popularity Models. Focused on Explainable AI (XAI), machine learning interpretability, and predictive modeling using the UCI Online News Popularity dataset. Developed concept-level abstraction
- 1 Jahr, Aug. 2023 - Juli 2024
Executive Post Graduate Programme
International Institute of Information Technology Bangalore
Relevant Coursework: Python Programming, Statistics, Machine Learning, Data Visualization, Exploratory Data Analysis, Predictive Modeling, Artificial Intelligence. Activities and Achievements: • Built end-to-end data science projects using Python and machine learning libraries. • Gained hands-on e
- 3 Jahre und 10 Monate, Aug. 2016 - Mai 2020
Bachelor of Technology - BTech
Vishwakarma Institute Of Technology
Sprachen
Englisch
C1 (Fließend)
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