Led teams to enhance Petal Search's recipe box feature through Al-driven innovations. • Developed advanced web scraping algorithms for high-accuracy data extraction. • Awarded the 2022 Excellent Tech Lead for my data quality improvements in Petal Search Recipe Box, directly leading to the resolution of 200 out of 600 critical bad cases and enhancing search accuracy. • Spearheaded data quality compliance efforts, earning ISO 8000 Master Data Quality Manager certification. • Engineered Al-driven classification models, enhancing classification accuracy by 85%. • Currently leading a sub-team for data collection, cleaning, and generation for LLM projects. • Managed a team responsible for synthetic data generation for LLM fine-tuning, with manual evaluation scores averaging 95%, ensuring high-quality model adaptation. • Focus Areas: Data Quality, Data Cleaning, Python, Flask, REST API, Web Scraping, Query Understanding, PDCA, Risk Management, Image Object Detection (YOLO), Label Studio, Prompt Engineering, NLP, LLM Data Generation (Pre-Train, Fine-Tuning), SQL, Machine Learning, ETL Pipeline Flow Design

• Designed and implemented the National Address Parser (90% accuracy). • Applied Natural Language Processing (NLP) for address validation and self-learning improvements. • Integrated REST, SOAP, and SQL-based solutions for bill collection systems. • Focus Areas: Java, Python, REST, SOAP, NLP, Zemberek Turkish NLP Library, SpaCy, Geo-coding, Information Extraction, Named Entity Recognition, Rule-Based NER, SQL

• Assisted in teaching C Programming, Java, Mobile Programming, and Data Structures. • Conducted research on machine learning and regression models. • Focus Areas: Java, WEKA, Machine Learning, Regression, SPSS, Data Cleaning

• Contributed to the Automatic Meter Reading System, funded by the Ankara Development Agency. • Developed and debugged Android applications. • Focus Areas: Java, Android, Oracle ADF, SQL

• Developed Android applications using Java and JavaScript. • Focus Areas: JavaScript, Android

Thesis: Studying Spiking Neural Networks within Large Language Models

• Thesis: Predicting Student Success Using Academic Data • Publication: SCIE Indexed - International Journal of Engineering Education (2018)

MSc | Computer Forensics | Gazi University, Turkiye | Feb 2016

• Erasmus Exchange Program: University of Finland (2009) • Graduation Project: Parsing Academic Papers, presented at a national conference