Shayekh Navid
AI Engineer at VAGO Solutions
Koblenz, Rhineland-Palatinate, Germany
Summary
👤
Senior🎓
Top SchoolShayekh Navid is an AI Engineer based in Koblenz, Germany, with eight years of professional experience and five years focused on building AI and data-intensive systems. He blends research-grade work from Fraunhofer IAIS—fine-tuning multimodal VLMs and applying knowledge distillation—with hands-on engineering that produced fault-tolerant AWS data pipelines processing 10,000+ events/sec. His recent role centers on implementing and optimizing RAG pipelines and LLM agent architectures to enable context-aware generation and stronger retrieval accuracy. Earlier positions span end-to-end machine learning and big-data work using PySpark, Python, and TypeScript to turn millions of records into actionable models and visual insights. Comfortable moving between research experiments and production deployments, he also contributes to internal benchmarks and evaluation frameworks to guide model selection and efficiency trade-offs. Colleagues describe him as someone who pairs intellectual curiosity with pragmatic engineering, routinely turning academic ideas into scalable products.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BSc Computer Science and Engineering, Bachelor of Science - BSc Computer Science and Engineering at North South UniversityO Level and A Level, O Level and A Level at Cephalon International SchoolMaster of Science - MS Web and Data Science, Master of Science - MS Web and Data Science at University of Koblenz and LandauMarie Curie School
Stackoverflow
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Github Skills (3)
kotlin1
flutter1
android1
Programming languages (4)
Github contributions (5)
shayekh00/Food-Review-Using-raw-PHP-HTML-CSS
Jul 2019 - May 2020
Contributions:22 commits, 19 pushes in 10 months
shayekh00/Fake-Video-Detection-using-Convolutional-Neural-Networks
Apr 2021 - Dec 2024
Contributions:1 push in 3 years 8 months
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