WORK EXPERIENCE

Software Development Engineer – Applied AI & Automation

Worked on applied AI initiatives focused on automating engineering workflows and improving development efficiency
Used large language models (LLMs) for intelligent text analysis, prompt design, and automated test-case generation from source code
Designed and implemented Python-based data preprocessing pipelines to prepare structured and unstructured data for AI workflows
Built automation scripts to integrate AI outputs into existing software pipelines and validation processes
Experimented with different AI approaches to evaluate feasibility, performance, and reliability in real-world engineering contexts
Collaborated with team members to translate problem statements into practical AI-assisted solutions

Technologies: Python, LLMs, AI/ML, Prompt Engineering, Data Processing, Automation

Domain: Applied AI, Intelligent Systems

Test Automation Software.

Worked on development and bugfixes for Test Automation software using OpenTAP.
Expanded test coverage by integrating new test cases and optimizing existing ones in alignment with Open RAN specifications.
Automated report generation utilizing TIFG format.

M-Plane Toolkit.

Worked on development of new testcases based on Open RAN specification and bugfixes for M-Plane client and server.
Worked on enhancing robustness of existing testcases.

Technologies: C#, Python, REST APIs, OpenTAP, PathWave Test Automation, Git, Linux

Domain: Telecom, Open RAN, Test Automation, NR 5G

Developed a system to identify and mask personal data in text datasets to support GDPR compliance requirements
Implemented rule-based and pattern-matching techniques for entity identification and anonymization
Built a LinkedIn data scraper to extract and structure publicly available profile information for internal analysis
Created automation scripts for data collection, cleaning, and validation
Gained hands-on experience working in a professional software development environment, including code reviews and version control

Technologies: Python, Regex, Data Processing, Automation, Git

Domain: Data Privacy, Automation, Backend Utilities