### Blog and open-source I did the most writing in my personal [Medium](https://medium.com/@alexhonchar) blog: 50+ articles, 1.7M+ views. Almost all pieces had open-source code alongside, so some of the projects on my [GitHub](https://github.com/Rachnog/) have 1.5k+ stars as well. The most popular articles are: - πŸ‘¨β€πŸ’» [Neural networks for algorithmic trading. Simple time series forecasting](https://medium.com/@alexhonchar/neural-networks-for-algorithmic-trading-part-one-simple-time-series-forecasting-f992daa1045a) - πŸ‘¨β€πŸ’» [Neural ODEs: breakdown of another deep learning breakthrough](https://medium.com/data-science/neural-odes-breakdown-of-another-deep-learning-breakthrough-3e78c7213795) - πŸ‘¨β€πŸ’» [Intro to LLM Agents with Langchain: When RAG is Not Enough](https://medium.com/data-science/intro-to-llm-agents-with-langchain-when-rag-is-not-enough-7d8c08145834) - πŸ‘¨β€πŸ’» [Deep learning: the final frontier for signal processing and time series analysis?](https://medium.com/@alexhonchar/deep-learning-the-final-frontier-for-signal-processing-and-time-series-analysis-734307167ad6) - πŸ‘¨β€πŸ’» [Neural networks for algorithmic trading. Correct time series forecasting + backtesting](https://medium.com/@alexhonchar/neural-networks-for-algorithmic-trading-1-2-correct-time-series-forecasting-backtesting-9776bfd9e589) ---- ### Academic work While studying at University of Verona, I have co-written and published 7 peer-reviewed academic works on machine learning in finance that have 700+ citations, see details on πŸ‘¨β€πŸ’» [Google Scholar](https://scholar.google.com/citations?user=S7ocd4YAAAAJ&hl=en). ---- ### Other Also, a long time ago I was a columnist at the largest Ukrainian IT community [DOU](https://dou.ua/users/alexandr-gonchar/articles/). My short-form write-ups on [Linkedin](https://www.linkedin.com/in/alexandr-honchar/) and [X](https://x.com/rachnogstyle) accounts attracted some attention and followers too.