- Building and developing internal RAG LLM tools with internal documentation enhancing the productivity and efficiency of Trendyol developers to reach to a specific information in the internal documentation, QA platform, and communication platform.- Optimizing and Deploying large scale ML models with KServe and Nvidia Triton which directly impact the user application on various domains such as search and NLP.- Maintaining stable Experimentation Environments of Data Science team… Show more - Building and developing internal RAG LLM tools with internal documentation enhancing the productivity and efficiency of Trendyol developers to reach to a specific information in the internal documentation, QA platform, and communication platform.- Optimizing and Deploying large scale ML models with KServe and Nvidia Triton which directly impact the user application on various domains such as search and NLP.- Maintaining stable Experimentation Environments of Data Science team with Kubeflow on GCP for better development experience and increased productivity. Show less

- Assisted in building the backend and DevOPS of an automated machine learning platform for corporate customers using django rest framework, AWS Autogluon, Openshift, jenkins, kubernetes and S3 object storage, where users can upload their datasets and train machine learning models with automated process that includes data preprocessing, automated feature engineering, automated splitting, training phase, testing phase and result phase where the best model is presented.- Participated in… Show more - Assisted in building the backend and DevOPS of an automated machine learning platform for corporate customers using django rest framework, AWS Autogluon, Openshift, jenkins, kubernetes and S3 object storage, where users can upload their datasets and train machine learning models with automated process that includes data preprocessing, automated feature engineering, automated splitting, training phase, testing phase and result phase where the best model is presented.- Participated in building a data insights platform where users could have important insights about theircustomers from segmentation to data visualization with various properties using SQL queries and FastAPI to create endpoints of the query results for the users.- Assisted in creating machine learning models that trained on the cooling systems in data centers to present efficient and optimized solutions that result positively on the budget for cooling data centers.- Created personalized data insights that fit the customers’ needs and requirements from big dataplatforms using Oracle SQ Show less

- Presented an efficient solution to implement AI in cement making process where the machine learningmodel could determine the breaking strength of the cement without taking samples in the lab facilitieswhich had the potential to reduce the time for product production.- Maintained corporate VMs that had multiple responsibilities from running the SAP systems to takingperiodical backups of customer and product databases.- Acquired basics on cyber security with Check point… Show more - Presented an efficient solution to implement AI in cement making process where the machine learningmodel could determine the breaking strength of the cement without taking samples in the lab facilitieswhich had the potential to reduce the time for product production.- Maintained corporate VMs that had multiple responsibilities from running the SAP systems to takingperiodical backups of customer and product databases.- Acquired basics on cyber security with Check point R80.40 software that protected company andemployee’s sensitive data. Show less