Hello there!
I'm Evgeny, and you've found your way to my personal blog. I am fascinated by many domains: startups, product management, diverse scientific disciplines (like astronomy, philosophy, and psychology, which I majored in), and software development.
Always keen on exploring new opportunities, whether it be engaging discussions, consulting projects, and more. If you'd like to connect, don't hesitate to drop me an email, send a message on Telegram (@smirik), or reach out through any of the social networks. Looking forward to crossing paths!
Also, I host a podcast and a Substack newsletter, where I share my thoughts on psychological and philosophical topics. Feel free to check them out!
Recent Posts
⭐️ LLM for natural science
Posted on:July 25, 2024 at 06:50 AMWhy it is a good idea to use LLMs in natural sciences (not only in social sciences).
⭐️ Myths About Large Language Models
Posted on:February 15, 2024 at 09:35 AMMany people believe that Large Language Models (LLMs) are difficult to learn, exclusive to developers, and limited to text generation. In this article, I debunk these myths and reveal the true potential of LLMs.
⭐️ How software developers can survive in a Brave New AI World?
Posted on:January 29, 2024 at 11:20 AMSome people say that AI could replace software developers. I argue that it might not the case if developers. In this talk, I will explain why and what to do to stay competitive in the market.
Advocating for Small Teams by 'Rework' and 'Getting real'
Posted on:January 12, 2024 at 11:20 AMWhat are the benefits of working in small teams? I would like to recap on this topic based on ‘37signals' 'Rework' and 'Getting Real'
Do LLM repeat the MOOCs' fate?
Posted on:December 5, 2023 at 04:50 PMHow astronomers use machine learning and what problems one might resolve with it
🔭 Recent Scientific Papers
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Evgeny Smirnov.
A comparative analysis of machine learning classifiers in the classification of resonant asteroids. 2024.
Icarus. V. 415.
DOI: 10.1016/j.icarus.2024.116058.
#astronomy
,#computing
,#ai
,#ml
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Evgeny Smirnov.
Fast, Simple, and Accurate Time Series Analysis with Large Language Models: An Example of Mean-motion Resonances Identification. 2024.
The Astrophysical Journal. V. 966.
DOI: 10.3847/1538-4357/ad3ae1.
#astronomy
,#computing
,#ai
,#llm
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Evgeny Smirnov.
How do people experience innocent suffering?. 2023.
Frontiers in Psychology. V. 14.
DOI: 10.3389/fpsyg.2023.1148902.
#psychology
,#personality psychology
,#innocent suffering
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Evgeny Smirnov.
A new python package for identifying celestial bodies trapped in mean-motion resonances. 2023.
Astronomy and Computing. V. 43.
DOI: 10.1016/j.ascom.2023.100707.
#astronomy
,#computing
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Evgeny Smirnov, Ilya Dovgalev.
Identification of Asteroids in Two-Body Resonances. 2018.
Solar System Research. V. 52.
DOI: 10.1134/S0038094618040056.
#astronomy
🗣️ Recent Talks
⭐️ How software developers can survive in a Brave New AI World?
Posted on:January 29, 2024 at 11:20 AMSome people say that AI could replace software developers. I argue that it might not the case if developers. In this talk, I will explain why and what to do to stay competitive in the market.
Do LLM repeat the MOOCs' fate?
Posted on:December 5, 2023 at 04:50 PMHow astronomers use machine learning and what problems one might resolve with it
A machine-learning approach for data mining in astronomy
Posted on:June 1, 2022 at 04:50 PMHow astronomers use machine learning and what problems one might resolve with it
An overview of the self-determination theory in psychology
Posted on:May 31, 2022 at 09:02 AMMy public report about the self-determination motivation theory developed by Deci and Ryan
A machine-learning approach in the dynamics of asteroids
Posted on:May 31, 2022 at 08:59 AMMy public talk at the conference CelMec in Luchon
⭐️ Featured posts
⭐️ LLM for natural science
Posted on:July 25, 2024 at 06:50 AMWhy it is a good idea to use LLMs in natural sciences (not only in social sciences).
⭐️ Myths About Large Language Models
Posted on:February 15, 2024 at 09:35 AMMany people believe that Large Language Models (LLMs) are difficult to learn, exclusive to developers, and limited to text generation. In this article, I debunk these myths and reveal the true potential of LLMs.
⭐️ How software developers can survive in a Brave New AI World?
Posted on:January 29, 2024 at 11:20 AMSome people say that AI could replace software developers. I argue that it might not the case if developers. In this talk, I will explain why and what to do to stay competitive in the market.
⭐️ How to cultivate intrinsic motivation?
Posted on:September 27, 2023 at 01:00 PMAs a manager, I place high value on self-determination theory, which is rooted in the psychology of motivation and has practical implications for day-to-day actions. This article has some suggestions for boosting your own, or others', motivation, based on scientific studies.
⭐️ How to protect personal information in an application. Part 2.
Posted on:May 29, 2022 at 02:21 PMUseful tools and technics to improve security