Mustafa Yagmur
AI ML Solutions Architect Presales at SDG Group USA
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMustafa Yagmur is an AI/ML solutions architect and practitioner with eight years of experience designing, training, and productionizing large-scale ML systems across cloud platforms (AWS, GCP) and edge devices. He has led end-to-end GenAI and RAG chatbot projects, MLOps migrations to SageMaker and Snowflake, and an OCR + LLM document pipeline on Vertex AI, translating research-grade models into resilient production services. His background in computer vision includes object detection, instance segmentation, and dataset curation—having managed annotation teams for hundreds of thousands of images—and a published paper on GAN-based noise removal. Equally comfortable in presales and hands-on engineering, he has built real-time pipelines with Kafka, REST APIs, and CI/CD while mentoring students and running ML meetups with thousands of attendees. Notably, he blends academic rigor from research at The University of Tokyo and Chiba University with pragmatic deployments on resource-constrained hardware like NVIDIA Jetson and Raspberry Pi.
8 years of coding experience
6 years of employment as a software developer
University of TokyoMaster's degree Information Science/Studies, Master's degree Information Science/Studies at 千葉大学 Chiba UniversityResearch Computer and Information Sciences General, Research Computer and Information Sciences General at Chiba University Center for Environmental Remote Sensing
English, Japanese, Turkish
Github Skills (48)
notebook10
python10
jupyter10
machine-learning10
deep-learning10
tensorflow10
jupyter-notebook10
ml9
deep-neural-networks9
neural-network9
generative-model8
upsampling8
epoch8
rbm8
vehicle-detection8
Programming languages (5)
Github contributions (5)
mytrjp/objectDetection
Jul 2018 - Apr 2019
Contributions:44 commits, 74 pushes, 1 branch in 8 months
myagmur01/MLOps-capstone
Feb 2022 - Feb 2022
MLOps capstone project
Contributions:2 PRs, 2 pushes, 2 branches in 1 day
capstonedata-sciencemachine-learningmlopskubernetes
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