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

• Why LegalTech Startups Fail: The Case for Integrators

  Posted on:September 15, 2025 |  at 01:00 PM

  Most LegalTech startups still sell rigid products, but lawyers need flexible integration. The future belongs to integrators who unite law, AI, and IT.

• Why AI Has Brought More Losses Than Gains to LegalTech — and What to Do About It

  Posted on:August 24, 2025 |  at 08:00 AM

  Despite hype, most GenAI investments in LegalTech fail to deliver ROI. The missing element is disciplined economic assessment — without it, adoption turns into sunk cost.

• ⭐️ Beyond Adoption: The Real Challenge of AI in Law Firms

  Posted on:August 21, 2025 |  at 08:00 AM

  AI adoption in law firms is widespread, but true transformation remains rare. The real challenge lies not in trying tools like ChatGPT, but in restructuring workflows where legal expertise, AI capabilities, and IT integration meet. Without this, adoption stays superficial and impact limited.

• New astronomical research: The Highly Resonant Trans-Neptunian Region

  Posted on:May 5, 2025 |  at 01:00 PM

  Just published my latest research on trans-Neptunian objects — found over 65% may be in resonant orbits with Neptune, much higher than expected!

• Why AI Hasn’t Taken Off in Law: A Counterintuitive Reason

  Posted on:February 26, 2025 |  at 09:00 AM

  LLMs promised to replace lawyers, but real transformation is rare. The paradox: effective use of AI in law requires deeper expertise, not less.

🔭 Recent Scientific Papers

• Evgeny A. Smirnov. Chaotic Diffusion and Transient Resonance Captures of the Near-Earth Asteroid 2024 YR₄. 2025. Astronomy & Astrophysics. V. 699. DOI: 10.1051/0004-6361/202554489. #astronomy, #chaotic diffusion, #resonance sticking, #NEA, #mean-motion resonances
• Evgeny Smirnov. A highly resonant Neptunian region: A systematic search for two-body and three-body mean-motion resonances. 2025. Icarus. V. 436. DOI: 10.1016/j.icarus.2025.116584. #astronomy, #mean-motion resonances, #TNO, #chaos theory
• Evgeny Smirnov, Maria Makarova. Existential Concerns Arising From a Threat to the Belief in a Just World: A Mixed-Methods Study. 2025. Journal of Humanistic Psychology. V. . DOI: 10.1177/00221678251322250. #psychology, #philosophy, #belief in a just world, #existential concerns
• Valerio Carruba, Safwan Aljbaae, Evgeny Smirnov, Gabriel Caritá. Vision Transformers for identifying asteroids interacting with secular resonances. 2024. Icarus. V. 415. DOI: 10.1016/j.icarus.2024.116346. #astronomy, #neural networks, #ai, #llm, #secular resonances
• 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

🗣️ Recent Talks

• ⭐️ How software developers can survive in a Brave New AI World?

  Posted on:January 29, 2024 |  at 11:20 AM

  Some 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 PM

  How 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 PM

  How 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 AM

  My 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 AM

  My public talk at the conference CelMec in Luchon

⭐️ Featured posts

• ⭐️ Beyond Adoption: The Real Challenge of AI in Law Firms

  Posted on:August 21, 2025 |  at 08:00 AM

  AI adoption in law firms is widespread, but true transformation remains rare. The real challenge lies not in trying tools like ChatGPT, but in restructuring workflows where legal expertise, AI capabilities, and IT integration meet. Without this, adoption stays superficial and impact limited.

• ⭐️ LLM for natural science

  Posted on:July 25, 2024 |  at 06:50 AM

  Why 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 AM

  Many 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 AM

  Some 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 PM

  As 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.