index.xml

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    <title>Leonid Gremyachikh</title>
    <link>https://bamasa.github.io/</link>
    <description>Recent content on Leonid Gremyachikh</description>
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    <language>en</language>
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    <item>
      <title>Fraud Detection</title>
      <link>https://bamasa.github.io/projects/mt_frauders/</link>
      <pubDate>Thu, 01 Jun 2023 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/mt_frauders/</guid>
      <description>Full-time job as a Leading Big Data Specialist at FBS.
Latent similarity model: converting user operations into code in latent space (time series + transformers) for frod detection and user clustering Real-time detection of frauders in time series Fraud and anomaly detection based on profit on sudden price changes Fraud monitoring in CPA networks Martingale monitoring User risk scoring Spread analytics Fraud detection based on transaction intersections in cryptocurrency </description>
    </item>
    
    <item>
      <title>PhD: completion of graduate school at the HSE University</title>
      <link>https://bamasa.github.io/log/hse_phd_school/</link>
      <pubDate>Sun, 09 Oct 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/hse_phd_school/</guid>
      <description>Completion of graduate school at the HSE University.</description>
    </item>
    
    <item>
      <title>Interview: a short interview with me on the HSE university website</title>
      <link>https://bamasa.github.io/log/hse_interview/</link>
      <pubDate>Fri, 26 Aug 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/hse_interview/</guid>
      <description>An interview with me on the HSE website has been published. I told why and how I came to be in data science, as well as about graduate school.
https://cs.hse.ru/news/741609195.html</description>
    </item>
    
    <item>
      <title>School: summer school on entrepreneurship (Faculty of Computer Science, HSE University)</title>
      <link>https://bamasa.github.io/log/summer_bus_hse/</link>
      <pubDate>Mon, 22 Aug 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/summer_bus_hse/</guid>
      <description>Attended the HSE university&amp;rsquo;s summer school, August 22-26, 2022. Wonderful and realistically-sincere event. It was most interesting to get to know the participants and speakers, and the following topics:
networking search for investment startup economics Full program.
Certificate</description>
    </item>
    
    <item>
      <title>3D Computer Vision for teeth</title>
      <link>https://bamasa.github.io/projects/cv_teeth/</link>
      <pubDate>Fri, 01 Apr 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/cv_teeth/</guid>
      <description>Full-time job as a lead machine learning engineer in the computer vision field at Adalisk.</description>
    </item>
    
    <item>
      <title>NFT Images Generator</title>
      <link>https://bamasa.github.io/projects/img_gen/</link>
      <pubDate>Tue, 01 Mar 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/img_gen/</guid>
      <description>&amp;ndash; TODO: description and examples. &amp;ndash;</description>
    </item>
    
    <item>
      <title>Space Navigator</title>
      <link>https://bamasa.github.io/projects/spacenav/</link>
      <pubDate>Wed, 02 Feb 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/spacenav/</guid>
      <description>TL; DR A system for calculating optimal collision avoidance maneuvers for satellites based on reinforcement learning.
About We made Space Navigator - a system for automatically determining the probability of collision of space objects and calculating the most effective evasive maneuver using AI.
Stage of the project:
Research Article &amp;ldquo;Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers&amp;rdquo; (2020) MVP (2019) First place in the competition of projects of the Academy of Roscosmos (presentation slides, 2018) VR presentation (2018) Demonstrations and reports:</description>
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    <item>
      <title>DL useful stuff</title>
      <link>https://bamasa.github.io/notes/useful/</link>
      <pubDate>Sun, 02 Jan 2022 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/notes/useful/</guid>
      <description>&amp;ndash; the post is in process &amp;ndash;
git git fetch git rebase git checkout git merge git pull tmux terminal:
tmux # start tmux session tmux ls # list sessions tmux a -t &amp;lt;session name&amp;gt; # attach to the session called &amp;lt;session name&amp;gt; tmux kill-session -t &amp;lt;session name&amp;gt; # kill the session called &amp;lt;session name&amp;gt; pkill -f tmux # just kill all tmux windows commands:
CTRL+b c Create a new window CTRL+b n Switch to the previous window CTRL+b p Switch to the next window CTRL+b w Choose window from a list CTRL+b , Rename the current window CTRL+b &amp;amp; Kill the current window panes commands:</description>
    </item>
    
    <item>
      <title>Art Exhibition: Game Junction (AI art project)</title>
      <link>https://bamasa.github.io/log/game_junction/</link>
      <pubDate>Sun, 22 Aug 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/game_junction/</guid>
      <description>Exhibition &amp;ldquo;Game Junction&amp;rdquo; exhibition in the gallery Khodynka with For All Exists Infinity project.
Some details Read more here.</description>
    </item>
    
    <item>
      <title>Poker Robot</title>
      <link>https://bamasa.github.io/projects/rl_poker/</link>
      <pubDate>Sun, 01 Aug 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/rl_poker/</guid>
      <description> TL; DR Researching and applying the Reinforcement Learning approach to no-limit Texas poker.
Fragment of one of the experiments.
My role Application of existing models Implementation of the pipeline of experiments and comparison of models Development of architectural features of the poker environment experiments Experiments </description>
    </item>
    
    <item>
      <title>Storage Digital Twin</title>
      <link>https://bamasa.github.io/projects/digital_twin/</link>
      <pubDate>Sun, 01 Aug 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/digital_twin/</guid>
      <description>TL; DR Digital Twin of the Data Storage System based on conditional generative models.
Photo by benjamin lehman on Unsplash
My role Generative models research </description>
    </item>
    
    <item>
      <title>Marketing Robot</title>
      <link>https://bamasa.github.io/own_projects/rl_market/</link>
      <pubDate>Fri, 30 Jul 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/own_projects/rl_market/</guid>
      <description> TL; DR Outsourcing R&amp;amp;D project for the Retentioneering company – Reinforcement Learning for automatic budget management for advertising campaigns. We managed to create a quality MVP. NDA.
Yandex Direct img.
My team Me.
Olga – MEPhI graduate, postgraduate student of the Institute of Theoretical and Experimental Physics (ITEP) in elementary particle physics, machine learning specialist, programmer..
My role Searching for a client Management Programming (python) Environment Reinforcement Learning Simulator &amp;hellip; Statistical analysis of approaches, selection and analysis of metrics </description>
    </item>
    
    <item>
      <title>For All Exists Infinity</title>
      <link>https://bamasa.github.io/art/faei/</link>
      <pubDate>Fri, 09 Jul 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/art/faei/</guid>
      <description>Description VR installation created with the Unreal Engine. Two actors coexist, you and AI, representing previous users.
You are able to influence the virtual world, creating traces of presence or artistic images. These traces are a way of communication with artificial intelligence, through joint creativity you can explore the virtual space.
You have no means of communication with your ally other than creation. How to behave in an environment where basic familiar communication methods are not provided?</description>
    </item>
    
    <item>
      <title>ML-IDS</title>
      <link>https://bamasa.github.io/teaching/ml_ids/</link>
      <pubDate>Fri, 09 Jul 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/teaching/ml_ids/</guid>
      <description>TL; DR A course on machine learning for scientists &amp;ldquo;Machine Intelligence, interdisciplinary perspective&amp;rdquo;. Platform: https://en.pelican.study/.
My role Lectures and homeworks (python, pytorch-lightning) topics: Deep Learning foundations: Convolutional Neural Network, BatchNorm, etc. Computer Vision foundations: Image Classification, Transfer Learning, etc. AutoEncoders Normalizing Flows Anomaly detection Time series </description>
    </item>
    
    <item>
      <title>Course: Atrtigitl (Digital Art)</title>
      <link>https://bamasa.github.io/log/atrtigitl/</link>
      <pubDate>Fri, 29 Jan 2021 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/atrtigitl/</guid>
      <description>TL; DR Online Digital Art School Atrtigitl, 06.11.20 – 29.01.21.
About Artigit&amp;rsquo;l online residency is aimed at a wide spectrum of artists as well as those individuals working within the innovative digital realm. Today the art and digital worlds are inherently intertwined and are rapidly expanding through a variety of formats that encompass a diverse range of technologies and innovations.
The ubiquitous use of personal cameras and the daily generation of video content has led to a gigantic shift within the digital visual landscape.</description>
    </item>
    
    <item>
      <title>Anomaly Prediction</title>
      <link>https://bamasa.github.io/projects/anomalies/</link>
      <pubDate>Mon, 16 Nov 2020 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/anomalies/</guid>
      <description>TL; DR Application of Neural Networks, Machine Learning algorithms, Reinforcement Learning and Natural Language Processing for Detection / Prediction of Anomalies in Storage Area Network by log data.
Also, development and testing researched methods for improving Digital Twin of Storage Area Network, methods on chaotic systems, OpenAI Gym wrappers.
Research Article &amp;ldquo;Online detection of failures generated by storage simulator&amp;rdquo; (2021) Research Article &amp;ldquo;SANgo: a storage infrastructure simulator with reinforcement learning support&amp;rdquo; (2020) Experiments and intermediate results Photo by Denny Müller on Unsplash</description>
    </item>
    
    <item>
      <title>Satellite Positioning</title>
      <link>https://bamasa.github.io/projects/satpos/</link>
      <pubDate>Fri, 13 Nov 2020 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/projects/satpos/</guid>
      <description>TL; DR Improving the prediction of the position of a space object using machine learning.
About The project task – build a model that would predict the position of space objects using simulation data.
https://www.esa.int/Applications/Telecommunications_Integrated_Applications/Orbits
Predicting the position of satellites is one of the most important tasks in astronomy. For example, information on the exact position of satellites in orbit is necessary to avoid extremely dangerous satellite collisions. Each collision leads not only to satellites destruction, but also to occurrence of thousands of pieces of space debris pieces.</description>
    </item>
    
    <item>
      <title>Course: Computer Vision (OTUS)</title>
      <link>https://bamasa.github.io/log/cv_course_otus/</link>
      <pubDate>Fri, 25 Sep 2020 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/cv_course_otus/</guid>
      <description>Photo by Runze Shi on Unsplash
I took a course on Сomputer Vision from OTUS (in Russian) from April 28 to September 25, 2020. The course was practical and covered Neural Networks and Deep Learning in the field of Computer Vision - from the basics to the latest frameworks and state-of-the-art scientific articles. Besides that, there were cool lessons about TensorRT and Server Inference. In addition, the interesting thing about this course was to learn from the experience of colleagues who use Computer Vision in different fields.</description>
    </item>
    
    <item>
      <title>Speech: SMILES (ML school at Skoltech)</title>
      <link>https://bamasa.github.io/log/smiles/</link>
      <pubDate>Fri, 21 Aug 2020 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/smiles/</guid>
      <description>Participated in the international summer school SMILES – The Summer School of Machine Learning at Skoltech from 16 to 21 August 2020. In the poster session, I talked about two &amp;ldquo;AI &amp;amp; Satellite Problems&amp;rdquo; projects that we were engaged at the Laboratory of Methods for Big Data Analysis at the National Research University Higher School of Economics.
Below is the submitted poster and the certificate provide.
Poster PDF Certificate PDF Post about Data Analysis for Satellite Tracking</description>
    </item>
    
    <item>
      <title>Task creation: IDAO (HSE University ML Olympiad)</title>
      <link>https://bamasa.github.io/log/idao/</link>
      <pubDate>Wed, 15 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/idao/</guid>
      <description>TL; DR Preparing the task for the IDAO 2020 Data Analysis Olympiad based on the Satellite Positioning project.
About This year the online task is coming from astronomy. It is focused on building a model that would predict the position of space objects using simulation data. The task was given by Russian Astronomical Science Center (ASC) and adopted for the Olympiad by the Laboratory of Methods for Big Data Analysis (LAMBDA, HSE University).</description>
    </item>
    
    <item>
      <title>Course: Generative Models School</title>
      <link>https://bamasa.github.io/log/gen_models_schools/</link>
      <pubDate>Fri, 29 Nov 2019 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/gen_models_schools/</guid>
      <description>Autumn School on Generative Models – HSE University and Yandex autumn school on generative models.</description>
    </item>
    
    <item>
      <title>Conference: Space debris</title>
      <link>https://bamasa.github.io/log/space_conf_2/</link>
      <pubDate>Fri, 19 Apr 2019 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/space_conf_2/</guid>
      <description>Participation in the conference &amp;ldquo;Space debris: fundamental and practical aspects of the threat&amp;rdquo; with the Space Navigator project. Moscow, Institute of Astronomy RAS and Space Research Institute RAS, 2019.</description>
    </item>
    
    <item>
      <title>Hackathon: RL Hackathon, A!ONE</title>
      <link>https://bamasa.github.io/log/rl_mts_hackathon/</link>
      <pubDate>Sun, 16 Dec 2018 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/rl_mts_hackathon/</guid>
      <description>I participated in the Reinforcement Learning hackathon from MTS at the A!ONE conference. It was required to develop an agent for a slightly modified CarRacing-v0 OpenAI GYM environment.</description>
    </item>
    
    <item>
      <title>Conference: IAA SciTech Forum</title>
      <link>https://bamasa.github.io/log/space_conf_1/</link>
      <pubDate>Thu, 15 Nov 2018 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/log/space_conf_1/</guid>
      <description>Participation in the international conference IAA SciTech Forum with the Space Navigator project. Moscow, RUDN, 2018.</description>
    </item>
    
    <item>
      <title></title>
      <link>https://bamasa.github.io/about/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/about/</guid>
      <description>Hi, my name is Leonid Gremyachikh.
I&amp;rsquo;m a leading data scientist, researcher and PhD candidate, with graduate and postgraduate degrees from the HSE University in Moscow. My expertise spans applied, scientific, and artistic projects in machine learning, deep learning, and reinforcement learning. Passionate about fintech, fraud detection solutions, computer vision, and digital twins, I aim to explore the potential of these domains.
If you have questions or just want to get in touch, then feel free to contact me an email at lgremyachikh@gmail.</description>
    </item>
    
    <item>
      <title></title>
      <link>https://bamasa.github.io/cv/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/cv/</guid>
      <description>CV CV pdf
My research IDs: Google Scholar: GNVO2imsAAAAJ
ORCID: 0000-0003-1655-6110
ResearcherID: AAH-1170-2019
Scopus AuthorID: 57214854045
SPIN-RSCI: 2199-9522</description>
    </item>
    
    <item>
      <title></title>
      <link>https://bamasa.github.io/works/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/works/</guid>
      <description>Projects more details Fraud Detection – full time job, fintech, meta-trading, 2022-current time.
3D Computer Vision for teeth – full time job, 2021-2022.
Space Navigator – a Tool for the Optimization of Collision Avoidance Maneuvers, 2018-2019, 2021-2022.
NFT Images Generator – generation and styling of images according to the user&amp;rsquo;s description, 2022.
Marketing Robot – Reinforcement Learning for automatic budget management, 2021.
Poker Robot – Reinforcement Learning for Poker, 2021-2022.</description>
    </item>
    
    <item>
      <title>First snippet</title>
      <link>https://bamasa.github.io/snippets/first/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/snippets/first/</guid>
      <description>This content is in snippets/first/index.md
pwd </description>
    </item>
    
    <item>
      <title>Second snippet</title>
      <link>https://bamasa.github.io/snippets/second/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://bamasa.github.io/snippets/second/</guid>
      <description>This content is in snippets/second/index.md
ls -la </description>
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