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Dmitriy-code-hub/README.md

Dmitriy Kovalenko

Applied AI Researcher | Time-Series Forecasting | Hybrid LLM & Deep Learning Architectures | Python

PhD researcher in Artificial Intelligence and Machine Learning.

I work on applied AI systems, LLM-based architectures, retrieval-augmented generation, and deep learning for financial and regulatory time-series analysis.

Focus areas

  • Large Language Models and RAG systems
  • Time-series forecasting and classification
  • Temporal Convolutional Networks, WaveNet, CNN-based models
  • Mistral, QLoRA, PyTorch, Transformers
  • Applied AI for administrative documents and migration-related services
  • Evaluation frameworks for AI systems

Current work

  • LLM + TCN architectures for text and time-series classification
  • RAG-based workflows for multilingual administrative information access
  • ETS / financial regime classification using textual and numerical signals
  • AI-supported document understanding and triage concepts

Technical stack

Python · PyTorch · Transformers · PEFT · QLoRA · Docker · Pandas · Scikit-learn · XGBoost · PostgreSQL · Git

Looking for

Applied AI, Machine Learning, Data Science, Research Internship, or AI Engineering opportunities in Munich and Bavaria.

Contact

LinkedIn: https://www.linkedin.com/in/dmytro-kovalenko-ai GitHub: https://github.com/Dmitriy-code-hub ORCID: https://orcid.org/0000-0001-9563-0002

Pinned Loading

  1. electricity-and-solar-generation-forecasting electricity-and-solar-generation-forecasting Public

    Applied forecasting project for electricity and solar generation using machine learning and time-series modelling

    Python

  2. stock-price-forecasting-cnn-wavenet stock-price-forecasting-cnn-wavenet Public

    Dilated convolutions can capture long-term dependencies while avoiding the vanishing gradient problem. Code uses one-hot encoding and categorical cross-entropy loss function. These features can be …

    Python

  3. mistral-tcn-financial-classification mistral-tcn-financial-classification Public

    Applied AI project using Mistral, TCN, QLoRA baselines, and PyTorch for financial and regulatory text classification

    Python

  4. stable-route-ai stable-route-ai Public

    Applied AI prototype for stablecoin route selection using fee, delay, depeg risk, compliance rules, Web3 data, and optional Mistral-based explanations

    Python

  5. transport-carbon-footprint-optimizer transport-carbon-footprint-optimizer Public

    Applied data and ML project for transport carbon footprint estimation, route optimization, ETS2, fuel, weather, and geospatial data processing

    Python

  6. rag-assistant-docker rag-assistant-docker Public

    Dockerized RAG assistant for local course materials, vector search, and source-aware LLM question answering

    Python