{"id":16658,"date":"2025-08-05T18:26:30","date_gmt":"2025-08-05T12:26:30","guid":{"rendered":"https:\/\/yessenovfoundation.org\/?p=16658"},"modified":"2025-08-20T12:46:58","modified_gmt":"2025-08-20T06:46:58","slug":"nikita-saksena-ne-bojtes-i-dejstvujte","status":"publish","type":"post","link":"https:\/\/yessenovfoundation.org\/en\/nikita-saksena-ne-bojtes-i-dejstvujte\/","title":{"rendered":"NIKITA SAXENA: BE FEARLESS AND TAKE ACTION!"},"content":{"rendered":"<p><strong><a href=\"https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-16660 size-large\" title=\"Nikita Saxena, Google DeepMind research engineer, a lecturer at the Yessenov Data Lab 2025 school for data analysts\" src=\"https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626-1024x683.jpg\" alt=\"\" width=\"640\" height=\"427\" srcset=\"https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626-1024x683.jpg 1024w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626-300x200.jpg 300w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626-768x512.jpg 768w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626-1536x1024.jpg 1536w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_3626-2048x1365.jpg 2048w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a>Nikita, if you had to briefly introduce yourself in a way that immediately shows you are a high-level professional, what would you say?<br \/>\n<\/strong>I\u2019m currently based in San Francisco, where I work for Google DeepMind. I\u2019ve had the opportunity to do a lot of AI research, even during my undergraduate studies, which has been one of the main reasons I\u2019ve been able to get to where I am today. I have experience working on AI for scientific applications, specifically in physics and biology. Recently, I\u2019ve been working on large language models and image understanding. One of the reasons I consider myself a professional is my diverse experience. I\u2019ve worked not only with AI language, but also with visual tasks and science. The second is the community I had access to. It\u2019s not just about self-learning but it\u2019s about learning from the people around you. This has been great at doing my undergraduate, my internships and doing obviously, at DeepMind at the moment.<\/p>\n<p><strong>By the way, could you tell us more about your role at Google DeepMind. What exactly do you work on?<br \/>\n<\/strong>I\u2019m a research engineer and I\u2019m working on <strong><a href=\"https:\/\/gemini.google.com\/\">Gemini<\/a><\/strong>, specifically on image understanding. I run experiments to understand what exactly the model is not able to do at the moment, and I look for ways to improve the model\u2019s specific capabilities &#8211; through data, evaluation, and training strategies.<\/p>\n<p><strong>But Gemini doesn\u2019t create images\u2026<br \/>\n<\/strong>There is a version in the <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/API\">API<\/a><\/strong> (Application Programming Interface) that can generate images. Just switch the model version, actually.<\/p>\n<p><strong>What advice or life hacks would you share with those who are just starting their journey &#8211; not only in IT but in any other field, for those who are currently studying at high school?<br \/>\n<\/strong>It\u2019s very important to build strong connections with people in both industry and academic science. Don\u2019t be afraid of rejection, reach out to people, share your ideas and get feedback. The best way to learn is by having your ideas challenged and being put to the test. Second &#8211; remain motivated and open-minded. Don\u2019t get blinded by what is trending right now because trends change every few months. Get fundamental knowledge and apply those fundamentals to projects. It\u2019s quite simple &#8211; gather friends, start a project, and reach out to a professor in your lab or even in another country. Most importantly, be fearless and take action.<\/p>\n<p><strong><a href=\"https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-16661 size-medium\" title=\"Nikita Saxena, Google DeepMind research engineer, a lecturer at the Yessenov Data Lab 2025 school for data analysts\" src=\"https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166-300x200.jpg 300w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166-1024x683.jpg 1024w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166-768x512.jpg 768w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166-1536x1024.jpg 1536w, https:\/\/yessenovfoundation.org\/wp-content\/uploads\/2025\/08\/mas_4166-2048x1365.jpg 2048w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>What are the most important trends in IT today?<br \/>\n<\/strong>The <strong>first<\/strong> is the data itself, because having access to very diverse data that covers different aspects of human life is the foundation for any model. The <strong>second<\/strong> is compute. To process large volumes of data, you need efficient models and powerful machines to run them. The <strong>third<\/strong> trend is analytical reasoning, since we want IT applications not just to do a way fixed but to understand when and why to do a particular thing. And the <strong>fourth<\/strong> is the development of benchmarks and standards that can help us understand what was the best performing thing in 2025, and what do you want to excel in 2026.<\/p>\n<p><strong>Nikita, what are your plans for the next couple of years?<br \/>\n<\/strong>I really like where I am at the moment. I want to grow within the company, and learn from colleagues I see as role models. At DeepMind, I have met many inspiring people. I aspire to be like them in research approaches and project execution. In the future, I plan to focus on ethical AI, and to implement within the Gemini landscape such limitations that will enable models only serve humanity for good. I hope I\u2019ll succeed.<\/p>\n<p><strong>Is your motto to keep learning all the time?<br \/>\n<\/strong>Yes, I really enjoy it.<\/p>\n<p><em>Nikita Saxena led sessions on <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Large_language_model\">Large Language Models<\/a><\/strong> (LLMs) as part of the academic curriculum of the annual Yessenov Data Lab 2025 Summer School for data analysts, held by the <strong><a href=\"https:\/\/yessenovfoundation.org\/en\/\">Shakhmardan Yessenov Foundation<\/a><\/strong> in partnership with <strong><a href=\"https:\/\/almau.edu.kz\/en\/\">AlmaU<\/a><\/strong> since 2018. Over this period, <strong>114<\/strong> young Kazakhstani participants acquired data analytics skills through the school\u2019s program.<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Nikita, if you had to briefly introduce yourself in a way that immediately shows you are a high-level professional, what would you say? I\u2019m currently based in San Francisco, where I work for Google DeepMind. I\u2019ve had the opportunity to do a lot of AI research, even during my undergraduate studies, which has been one [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":16659,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-16658","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-fonda"],"_links":{"self":[{"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/posts\/16658","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/comments?post=16658"}],"version-history":[{"count":30,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/posts\/16658\/revisions"}],"predecessor-version":[{"id":16709,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/posts\/16658\/revisions\/16709"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/media\/16659"}],"wp:attachment":[{"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/media?parent=16658"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/categories?post=16658"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yessenovfoundation.org\/en\/wp-json\/wp\/v2\/tags?post=16658"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}