• 👋 Hi, I’m Nikita Goryachev.
• 🖥️ In Data Science since 2016
• 👀 I’m interested in ML Engineering, Data Science and Big Data.

1. My Projects
2. Education
3. Experience
4. Contacts

I have authored a guide that serves as an essential resource for Data Scientists, ML Engineers, Software Developers, and other professionals who find themselves navigating the complex landscape of modern artificial intelligence technologies. This book is crafted to demystify the complexities inherent in AI applications, with a focused lens on Large Language Models (LLMs), conversational AI, and the nuanced process of integrating LLMs into development workflows, particularly emphasizing the tailored application of Machine Learning Operations (ML Ops) for these models. My goal is to equip readers with the knowledge and tools needed to harness the potential of AI technologies, guiding them through the intricacies of this rapidly evolving field with clarity and insight.

The methodologies and insights provided in this book extend beyond theoretical understanding, illustrating how LLMs can be seamlessly integrated into various business scenarios. From enhancing customer service with conversational chatbots to personalizing user experiences through recommender systems, and optimizing operational efficiencies with ML Ops, the application of LLMs across different facets of a business is both broad and impactful. This guide emphasizes the fundamental application skills required to implement LLMs in any business process, highlighting the versatility and transformative potential of these models in driving innovation, improving decision-making, and creating value. By bridging the gap between complex AI technologies and practical business applications, this book equips professionals with the knowledge to not only navigate the landscape of artificial intelligence but to also leverage it as a powerful tool for business growth and innovation.

• Built with FastAPI, PostgresSQL and SQLAlchemy
• Deployed on Heroku + Docker container for your own testing
• You can check demo in project repo

• Bot telegram link - take a photo of some document and bot will send you a text that you can copy.
• Deployed on Heroku
• You can check demo in project repo

• Requires NVIDIA CUDA
• You can check demo in project repo

• The model was trained on German road signs
• The application may be in sleep mode. In this case, you will see an offer to wake it up. You'll have to wait a couple of minutes.
• You can check demo in project repo

• 2021 | Postgraduate Diploma, Data Scientist 👨‍🎓

  • SBER UNIVERSITY | (Moscow)

    DIPLOMA PROJECT:
    - Emotion Detection App with Keras and OpenCV
    

• 2018-2020 | Master's Dergee, Finance. Specialization: Banks and Financial Markets 👨‍🎓

  • HSE (Higher Schools of Economics) | (Moscow)

    MINORS:
    - Data mining
    - Neural Network technologies
    - Software Engineering
    

• 2014-2018 | Bachelor's Dergee, Business-Informatics 👨‍🎓

  • UNN (Lobachevsky State University of Nizhny Novgorod) | (MyTown) | Department of Mechanics and Mathematics
    
    

• Chief ML / AI Engineer / Data Scientist, Sber | 2023-jan — Up to present | Large AI Models training
• Lead Data Scientist, Alghoritmics (E-PROMO GROUP) | 2021-may — 2023-jan (lead from 2022-mar) | Analytics and Machine Learning solutions | B2B & B2G
• Data Analyst, SBER | 2020-march — 2021-may

• As an AI/ML Engineer:
  • Transformers implementation to all SBER ecosystem in RecSys (Entertainment, E-com).
  • Working with NLP/RecSys SOTA algorithms.
  • NVIDIA DGX H100 cluster development experience.
  • Large AI Models training.
  • Contributor to the closed part of the RePlay library: https://github.com/sb-ai-lab/RePlay

• As a Data Scientist:
  • Team-Leadership of 3 Analytics and 2 DS on couple projects
  • Short period of time I worked as a project manager in addition to my main role (Data Scientist)
  • Software development for Neuro-Interface devices. Development of anomaly cleaning alghorithms and ML models for tremendous number of scenarios. Working with EEG data (electroencephalogram).
  • ML models development for biggest retail of Russia and Kazachstan

• As a Data Analyst:
  • Implementation of various ML methods, visualization.
  • Weekly reports for the corporate business department.
  • Work at the COVID headquarters, where Sberbank initiated the deployment of a robot designed to gather data regarding the health conditions of its employees. My role involved conducting analyses to categorize areas into "green," "yellow," and "red" zones. This was done to identify early indicators of illness, with the aim of preventing severe cases of the disease and potential fatalities.

🤵 Feel free to reach me on Telegram.