Marat Kamalov
Staff Software Engineer at Navan
Germany
Summary
👤
Senior🎓
Top SchoolMarat Kamalov is a Staff Software Engineer with over a decade of experience designing scalable Java backends, microservices, and no-code platforms for the insurance domain. He led architecture and technical direction at EIS Group for 8+ years, driving a major open-source project (OpenL Tablets) that turns business analyst Excel rules into cloud services while reducing technical debt and preserving compatibility. Comfortable in small and large teams, he frequently leads design reviews, mentors engineers, crafts coding challenges, and hires technical talent. Since 2022 he has focused on GPT-driven AI assistants and retrieval stacks using LangChain, LlamaIndex, vector databases, Azure Search, and Hugging Face transformers, blending ML experimentation with production engineering. A former competitive programming medalist and lecturer in algorithms, he pairs deep algorithmic thinking with practical performance profiling and benchmarking. Based in Germany, he also built a custom Java-like language for business users—an example of his knack for bridging analyst workflows and engineering rigor.
10 years of coding experience
1 year of employment as a software developer
BA in mathematics and system programming, BA in mathematics and system programming at Казанский государственный университет им. В.И. Ульянова-Ленина
Stackoverflow
101reputation
3kreached
0answers
5questions
Github Skills (44)
business-process10
groovy10
orientdb10
dmn10
java10
openjdk10
jasperreports10
business-rules10
python9
machine-learning9
spring8
deep-learning8
spring-boot8
tensorflow8
security8
Programming languages (3)
Github contributions (5)
openl-tablets/openl-tablets
Nov 2015 - Jan 2023
OpenL Tablets Business Rules Management System
Contributions:102 reviews, 3786 commits, 244 PRs in 7 years 3 months
management-systembusiness-rulesgroovyorientdbdmn
amosjyng/langchain-visualizer
Sep 2023 - Nov 2023
Visualization and debugging tool for LangChain workflows
Contributions:3 comments, 3 issues in 2 months
langchain
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