Ivan Mishalkin
Senior Data Scientist
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolIvan Mishalkin is a Senior Data Scientist and Python developer based in Munich with a decade of experience building data-driven products for financial markets. He specializes in LLM-based solutions, RAG systems, autonomous agents and automated analytics, and has a proven record of taking complex projects from prototype to production—most recently delivering a market analysis API (SummerFox) and an MCP server to streamline data access. Comfortable across the stack, he pairs Cython and Python engineering (including CI/CD and a C wrapper) with practical data science to make tools accessible to non-technical users and accelerate time-to-market. Ivan’s background in economics and big data gives him a strong product-oriented perspective on analytics, and he’s known for embedding LLMs and ChatGPT integrations into automated reporting to cut manual effort. An enthusiast of performance-focused Python (and Cython), he blends low-level optimization with high-level ML orchestration to deliver scalable, user-friendly solutions.
10 years of coding experience
7 years of employment as a software developer
Master's degree Big Data Analysis in Business Economy and Society, Master's degree Big Data Analysis in Business Economy and Society at Higher School of Economics
English, German
Github Skills (27)
api9
python8
packaging7
listings6
package-manager5
openai5
cython5
tld5
url-parsing5
langchain5
sphinx5
r-package5
chatgpt5
dependency-management4
dependency-manager4
Programming languages (6)
Github contributions (5)
iamishalkin/cyrtd
Sep 2019 - Apr 2020
Example of how to use poetry and sphinx in cython package
Contributions:4 commits, 2 PRs, 108 pushes in 6 months
sphinx-docpythoncythonsphinx
dxFeed/dxfeed-python-api-web-widget-example
Sep 2020 - Sep 2020
dxFeed candle charting demo web widget. This widget is built using the dxFeed Python API library and Dash framework and shows a 5-minute candle chart.
Contributions:37 commits, 9 PRs, 28 pushes in 15 days
apicandlepythondashchart
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