AI Engineer & Python Developer

The candidate has a strong background in AI and automation, with key achievements including winning an internal competition with an automated video processing project. They significantly reduced test creation time at a previous company by up to 80% using custom test steps. With experience at previous companies and institutions, the candidate has developed AI capabilities, conducted text data analysis, and implemented ML techniques for NLP. Their projects include information extraction from forms and a steganographic encoder and decoder application.

Python Software Engineer (emp. agency contractor) Apr 2024 – Present

• Working on SDN project focused on zero touch provisioning of new hardware using Python.
• Creating automation workflows in internal tool build upon Orquesta.
• Troubleshooting issues and implementing solutions with cross-functional teams.

Technical Specialist IT Sept 2023 – Mar 2024

• Part of a research and development team creating knowledge bases for chat-bots.
• menting development practices & processes for faster onboarding.
• Conducting research on RAG optimization solutions and enhancing application capabilities.

Software Developer Jun 2022 – Aug 2023

• Worked on inventorying networking devices on ServiceNow platform.
• Enhanced video processing solution with image processing, TTS, STT, and NLP techniques.
• Migrated data from legacy systems using ServiceNow ELTs and optimized PL/SQL queries.

R&D Worker Jul 2021 – May 2023

• Enhanced software platform with AI capabilities for automating processes.
• Developed self-service portal for users for intuitive problem-solving.
• Conducted text data analysis and implemented ML techniques for NLP.

Education

• Master of System Engineering and Informatics in Economic Informatics (Majored in Informatics and Its Application)
• Bachelor of System Engineering and Informatics in Economic Informatics (Majored in Web development)

BUSINESS ACADEMY, TRNAVA Sept 2012 – Jun 2017

• Bilingual studies in English and accounting

Projects

• Diploma Thesis: Application extracting form fields and their content using CNNs.
• Semestral Thesis: Application for steganographic encoding and decoding in images.
• Semestral Thesis: Feasibility analysis of automatic category suggestions for user-generated content.