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Schedule Interview NowMy name is Recep Ahmet S. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Computer Vision, Machine Learning, PyTorch, Keras, etc.. I hold a degree in Bachelor of Engineering (BEng), Bachelor's degree. Some of the notable projects I’ve worked on include: TensorFlow/Datasets, Bone Age Prediction, Pix2Art, Knet.jl. I am based in Berlin, Germany. I've successfully completed 4 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Siemens Healthineers
In RSNA Bone Age Challenge 16Bit competition, I developed a deep learning model for bone age prediction from X-Ray images of hands.
Mission is to develop a tool for artists by using specific datasets (E.g.Rose, Daisy, Tulip, etc.). The purpose of this tool is to inspire the artists from a computer vision perspective. We trained pix2pix model with Best Artworks of All Time dataset that is a collection of artworks of the 50 most influential artists of all time. The story behind this dataset is a challenge between a man and his girlfriend, they are challenging themselves like who is the best at guessing the artist behind an artwork. Then the man decides to use the power of machine learning to defeat his girlfriend and creates this dataset by scraping the internet.
During my internship, firstly I learned the Julia basics and I really love Julia language in many perspectives then I learned the Knet.jl, then I learned the ONNX then I worked on implementing ONNX operators to Knet.jl. In this way, you will be able to run an onnx file produced in any framework with Knet.jl.
Bachelor of Engineering (BEng) in Computer engineering
2016-01-01-2021-01-01
Bachelor's degree in Computer science
2017-01-01-2021-01-01