Summary
Merve Durna is a data scientist and AWS Certified ML Engineer with nine years of technology experience and a strong foundation in mathematics and software engineering. She has a proven track record migrating legacy systems to modern data platforms—moving 120+ datasets to Snowflake and rewriting 30+ SAS programs in Python—to deliver measurable efficiency and accuracy gains. Comfortable across the ML lifecycle, Merve builds and deploys production models (NLP and LLM-focused), designs robust pipelines with Airflow/Docker, and leverages AWS services including SageMaker, EMR, Glue and Bedrock. Her recent roles include LLM output evaluation and safety work at Covalen and account risk analytics at TikTok, reflecting a blend of model quality, content safety, and business-facing analytics. As a mentor and blogger, she routinely translates complex techniques into practical guidance, and she’s equally at home optimizing SQL/Snowflake pipelines as she is probing LLM failure modes.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Marmara University
Turkish, English