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Work Background
Arvento Mobile SystemsAI and Analytics Engineer
Sep. 2024Developed an AI-based anomaly detection platform (Cortex) for large-scale telematics data
Built and optimized data pipelines processing millions of sensor records (SQL/JSON)
Developed LLM-based systems using RAG for automated report generation and interpretation
Improved model performance through tuning and optimization techniques
Integrated AI models into production using API-based architectures
Followed recent advancements in LLMs and applied AI research.
Eti Food and Industry IncData Science and AI Intern
Jul. 2024 - Sep. 2024Developed a real-time anomaly detection system for production lines
Built streaming and batch data pipelines for sensor data
Evaluated model performance and created visual reports for stakeholders
Tested models under different production scenarios to improve robustness.
Miron Information TechnologiesAI Intern
May. 2024 - Jul. 2024Integrated ML models into backend systems via APIs
Improved system scalability and data-driven architecture
Supported database optimization and ML workflows.
TBG Information and TechnologyAI Project Analyst
Feb. 2024 - Aug. 2024Conducted EDA and data cleaning to extract insights
Built dashboards and reports for decision support
Translated business needs into SQL queries and data models
Worked closely with AI and product teams.
Mak-iş Tech OfficeData Scientist
Jun. 2023 - May. 2024Software Engineering graduate student with hands-on experience in data science and applied artificial intelligence projects across industrial and research settings. Experienced in building machine learning pipelines, anomaly detection systems, and data processing workflows using Python and SQL. Worked on both model development and AI-supported reporting, contributing to data-driven decision-making through clear technical explanations and visualizations. Comfortable collaborating across teams and adapting AI solutions to real-world production environments.
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