Türkiye
📙 Google Developer Expert on Machine Learning 📈 Data Scientist at Deloitte 🎙️ Community Lover and 5+ years experience with different communities I have been working professionally in the field of Deep Learning for 3 years. Specifically, I was working on Computer Vision projects and right now, I am developing Data Science projects
As a Google Developer Expert (GDE) in Machine Learning, I volunteer as part of a global network of highly experienced technical experts, influencers, and thought leaders specializing in Google technologies. This role involves technical proficiency and a commitment to community leadership and mentorship. Key Responsibilities: - Completed the rigorous selection process, including community-based and technical interviews, to qualify as a Machine Learning GDE. A TensorFlow Brain Team Engineer conducted my final technical interview. - Share expertise in Google technologies through speaking engagements, workshops, and mentorship, contributing to the wider developer and startup ecosystem. - Collaborate with fellow GDEs to drive innovation and knowledge sharing within the global developer community. - Provide insights and feedback to Google’s product teams, influencing the development and improvement of Google’s machine learning tools and technologies.
In my role as a Computer Vision Specialist, I specialized in advanced computer vision processes, including segmentation, classification, and object detection. My work involved developing cutting-edge solutions using TensorFlow, Keras, OpenCV, and Python, contributing to various research projects, hyperparameter tests, and academic propositions. Key Responsibilities: Conducted segmentation, classification, and object detection tasks to solve complex computer vision challenges. - Developed and optimized computer vision models using TensorFlow, Keras, OpenCV, and Python. - Performed extensive research and hyperparameter testing to improve model accuracy and efficiency. - Collaborated with ITU professors on an academic article focusing on building extraction from satellite data, showcasing innovative methods and findings. Key Achievements: - Successfully implemented and deployed computer vision models for various applications. - Contributed to academic research, resulting in a co-authored article on building extraction using satellite data. - Enhanced model performance through rigorous testing and optimization, ensuring high-quality outputs.