@anton_vorontsov
@anton_vorontsov
Led a team of 3 researchers to design and implement AI/ML solutions for time-series forecasting in cryptocurrency and stock markets, focused on high-frequency trading.
Investigated and benchmarked advanced architectures including DisjointCNN, Temporal Fusion Transformer, and Informer, achieving the highest performance with Informer for multi-step forecasting (24 candles ahead).
Designed and experimented with custom loss functions (Custom R², Quantile Loss, GMADL, Balanced GMADL) to improve predictive accuracy and robustness.
Developed a modular experimentation framework for rapid training, evaluation, and deployment of models, including:
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| Period | Title | Company |
|---|---|---|
| June 2025 to Oct 2025 | Sign in to view Fbwu Sxnvputozovw Qnqnwqrdjo | Sign in to viewMGY |
| Aug 2024 to June 2025 | Sign in to view Xzoi UY/Vsvfnvx Ahfwgblx Cayezsdw | Sign in to viewKrjyjyLopil |
| June 2023 to Aug 2024 | Sign in to view Ufuvxw Czaicua Lwwjpfuj Mszxcrja | Sign in to viewXnavjuhp |
| Jan 2021 to June 2023 | Sign in to view | Sign in to viewRclmnrxtm |
| Oct 2019 to Jan 2021 | Sign in to view LovlAS Zfraaxez | Sign in to viewXzzq |
Member since October 2025
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