Real-world data engineering and trading systems that solve actual business problems
"From high-frequency trading systems to enterprise data pipelines — each project represents production-grade solutions with measurable impact."
Real-world implementations that demonstrate expertise in high-stakes environments where reliability, performance, and business impact are non-negotiable.
Ornstein-Uhlenbeck process-based mean reversion strategy with machine learning optimization. Features real-time execution, risk management, and performance analytics.
High-performance SEC filing extraction system with SGML and XBRL parsing. Processes complex regulatory documents with intelligent content detection.
Scalable ETL pipeline for real-time market data ingestion, transformation, and analysis. Handles multiple data sources with automated quality checks.
Browse through my complete portfolio of data engineering, trading, and machine learning solutions.
Showing 6 of 6 projects
Ornstein-Uhlenbeck process-based mean reversion strategy with machine learning optimization. Features real-time execution, risk management, and performance analytics.
High-performance SEC filing extraction system with SGML and XBRL parsing. Processes complex regulatory documents with intelligent content detection.
Scalable ETL pipeline for real-time market data ingestion, transformation, and analysis. Handles multiple data sources with automated quality checks.
Dual moving average crossover strategy with dynamic position sizing and comprehensive risk management protocols.
Real-time risk monitoring system with VaR calculations, position tracking, and automated alert mechanisms.
Machine learning system for market prediction using ensemble methods, feature engineering, and real-time inference.
Technologies and methodologies that power these innovative solutions.
Real results delivered across multiple projects and industries.
Let's discuss your project requirements and create data solutions that drive real business value.
Whether you need real-time data pipelines, trading systems, or ML in production — let's discuss how these approaches can solve your specific challenges.
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