Erkan Taş
Founder at KEKOVA
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolErkan Taş is a founder and product leader who builds developer-first platforms that bridge AI research and real-world robotics, simulation, and multimodal systems. With roles at Waymo, Uber ATG/Aurora, and AWS driving simulation platforms, ML infrastructure, and large-scale synthetic-data pipelines, he specializes in simulation-driven development, end-to-end model evaluation, and reliable deployment of Physical AI. He now leads KEKOVA, applying closed-loop simulation and multi-agent coordination to maritime infrastructure—an uncommon niche that combines port operations with real-time AI. Erkan pairs hands-on product execution with academic rigor from UC Berkeley and an MBA focus on product and analytics, enabling him to translate cutting-edge GenAI and LLM advances into scalable platform products.
7 years of coding experience
16 years of employment as a software developer
Master of Data Science (MIDS), Artificial Intelligence, Master of Data Science (MIDS), Artificial Intelligence at University of California, BerkeleyMaster of Business Administration (M.B.A.), Product Management and Analytics, Master of Business Administration (M.B.A.), Product Management and Analytics at UW Foster School of Business
Github Skills (14)
amazon-sagemaker10
jupyter-notebook10
machine-learning10
mlops10
inference10
deep-learning10
aws10
python10
machine-learning-models10
jupyter10
data-science10
reinforcement-learning10
amazon10
sagemaker10
Programming languages (1)
Github contributions (2)
aws/amazon-sagemaker-examples
Sep 2018 - Jul 2019
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Contributions:3 PRs, 3 pushes in 9 months
pythonjupyter-notebooktrainingawssagemaker
e-tas/test
Jun 2019 - Jun 2019
Contributions:1 branch in 1 day
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