I'm a Machine Learning Engineer specializing in the intersection of Time-Series Analysis, FinML and Scalable Production Systems.
My background is rooted in Innopolis University (Data Science & AI). I'm passionate about building robust, data-driven solutions.
Currently, I am expanding my practical expertise in MLOps to streamline model deployment, monitoring, and scaling in production environments.
- Python 🐍: Core language for development and research.
- SQL 🗄️: Proficient in database querying and management.
- Deep Learning: PyTorch, TensorFlow
- Traditional ML: Scikit-learn, XGBoost, LightGBM
- Specialized: Hugging Face Transformers (NLP), OpenCV (CV)
- MLOps & Deployment: Docker 🐳, Kubernetes (K8s) ⚙️, MLflow
- Data: Pandas, NumPy
- Version Control: Git, GitHub
- PostgreSQL, MySQL, MongoDB
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Metalytics (Price Prediction App): Developed a predictive ML model for metal prices using Time-Series Analysis. Contributed to the data engineering pipeline for efficient data ingestion and feature generation.
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OptiTrade (RL Trading Bot): Engineered core components of a Reinforcement Learning (RL) trading application. Designed and implemented data pipelines to feed real-time market data to the RL agent.
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Criptify (BTC Price Prediction): Led the end-to-end ML development for a BTC price prediction system. Successfully implemented and validated the entire ML workflow, from feature engineering to final model deployment candidate.
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Job Search Application: Designed and implemented the ML engine for a job search application, focusing on improving search relevance and user-to-vacancy matching using machine learning techniques.
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[Other Achievement]: Strong analytical and problem-solving skills honed through participation in regional and national Olympiads in Mathematics, Programming, and Physics.
I am currently seeking opportunities to contribute to projects that leverage the full ML lifecycle, from initial model development to robust, scalable deployment and maintenance.
- 📧 Email: FaritSharafutdinov4@yandex.ru
- 🤖 Telegram: @Ivenho123
Last Updated: [November, 2025]