Enes Temel Email & Phone Number

Istanbul, Turkey

California, United States

• I am currently leading a team of over 300 developers on a very big AI project as the Calibrator of the wholeteam.
• Assisting in the advancement of the earth’s foremost AI products.
• Collaborating with external partners and customers to develop customized AI
• Conducting experiments to test the performance of AI models and fine-tune them for better accuracy andefficiency.

• Conducting a comprehensive literature review on the numerical proficiency of state-of-the-art machineand deep learning models, with a focus on their ability to perform basic arithmetic tasks.
• Designing and developing benchmarks to evaluate the performance of various neural network architecturesin arithmetic tasks, ranging from simple calculations to complex numerical reasoning.
• Leading experiments to test the numerical reasoning capabilities of machine learning models using customdesignedbenchmarks, ensuring robust and reproducible results.

İstanbul, Türkiye

• As a data scientist i did followings:
• Developed, deployed, and maintained predictive machine learning models and pipelines using Python, Azure DevOps, Docker, and Amazon S3, enhancing the identification of customers likely to default on credit card.
• Collaborated with data engineers, gaining experience with shell scripting and command-line operations on big data platforms to ensure efficient data handling and processing within the machine learning workflows.
• Had access to advanced cloud computing resources, including A100 and H100 machines, to support the development and deployment of machine learning models.

• As a data science lead instructor i did followings:
• Specialized in comprehensive Data Science, Deep Learning, Statistics, and SQL training, teaching foundationaland advanced machine learning models. Focused on equipping students with practical skills through.

Istanbul, Turkey

• Developed a large language model application using RAG technique for enhanced data analysis and insightgeneration. Also led data science projects at KPMG, focusing on LLMs, Stable Diffusion, anomaly detection,sales.

Istanbul, Turkey

At Muzlu Bilişim, I supported the development of a superapp called Omuz, which is a startup project. I learned how data extraction is performed through web crawlers. Additionally, I conducted research and studies on how the customer data generated in this new super-app could be transformed into a recommender system using machine learning.

İstanbul, Türkiye

I witnessed the entire production network of a product, from its manufacturing in the factory to its sale. This included observing plastic injection machines, the mold shop, the press shop, and then the processes of production planning and supply chain management.