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Denys S. AI, Machine Learning and Data Science Platforms

My name is Denys S. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Data Science, Natural Language Processing, Neural Network, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I've worked on include: NLP-Powered Chatbot for Customer Support, Natural Language => Task Automation Assistant, LSTM-Based TimeSeries Forecasting, AI-Powered Sentiment Analysis App. I am based in Baibuzy, Ukraine. I've successfully completed 4 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • AI, Machine Learning and Data Science Platforms

    0 years

  • Machine Learning

    1 Year

  • Deep Learning

    1 Year

  • Data Science

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Arina Software

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Experience Highlights

NLP-Powered Chatbot for Customer Support

Understand user queries, respond with relevant information, and handle multiple types of intents such as FAQs, booking requests, and general inquiries.

Natural Language => Task Automation Assistant

Lightweight LLM-powered assistant that converts natural language instructions into executable actions (e.g., creating code snippets, generating SQL queries, or drafting emails). The system demonstrate

LSTM-Based TimeSeries Forecasting|StockPrice Prediction&Trend Analysis

Time Series Forecasting App using Long Short-Term Memory (LSTM) neural networks to predict stock price movements and visualize future trends.

AI-Powered Sentiment Analysis App | NLP with Python & Hugging Face

Sentiment analysis application using Natural Language Processing (NLP) to analyze customer feedback and classify it as Positive, Negative, or Neutral.

Education

  • Taras Shevchenko National University of Kyiv

    Bachelor's degree in Computer science

    2021-01-01-2025-01-01

Languages

  • English (Fluent)✓
  • Ukrainian (Native or Bilingual)