Alp Emek
Software Engineer at Bosch
Stuttgart, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolAlp Emek is a software engineer with 8 years of experience specializing in data engineering, computer vision, and deep learning, currently building scalable image-search and ML pipelines at Bosch. He designs high-throughput feature extraction pipelines, deploys FastAPI microservices to Kubernetes, and manages reproducible cloud infrastructure with Terraform. Previously as the first deep learning engineer at The Chainless he delivered end-to-end CV solutions—unsupervised identity indexing at scale, dataset evaluation tooling, and visual mining modules—automating deployments on AWS and Azure. His background in embedded systems and signal processing (compressed sensing) informs pragmatic, performance-aware ML engineering. Comfortable bridging cross-continental teams, he focuses on reducing ML training costs through efficient data selection and production-ready tooling.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Embedded Systems Engineering, Master's degree, Embedded Systems Engineering at The University of FreiburgBachelor of Science (B.S.), Electrical and Electronics Engineering, Bachelor of Science (B.S.), Electrical and Electronics Engineering at Bilkent University
German, English, Turkish
Github Skills (5)
image-segmentation9
semantic-segmentation8
pytorch7
deep-learning7
linux-shell1
Programming languages (2)
Github contributions (5)
alpemek/ais3d
May 2018 - Dec 2019
Contributions:55 commits, 2 pushes, 1 branch in 1 year 7 months
alpemek/aerial-segmentation
Jun 2020 - Oct 2021
Semantic Segmentation of Aerial Images
Contributions:37 commits, 5 PRs, 6 pushes in 1 year 3 months
semantic-segmentationaerial-imagerydeep-learningpytorchimage-segmentation
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