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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."

Trading SystemsData EngineeringML Systems
20+
Projects Completed
Production Systems
25K+
Lines of Code
Python, SQL, Scala
12+
Clients Satisfied
Global Projects
120%
Average ROI
Measured Impact
Discuss Your ProjectView Projects

Featured Production Systems

Real-world implementations that demonstrate expertise in high-stakes environments where reliability, performance, and business impact are non-negotiable.

High-Frequency Trading
Real-time Data Pipelines
ML in Production
Risk Management
Mean Reversion OU Trading Bot
FEATURED
Algorithmic Trading

Mean Reversion OU Trading Bot

Ornstein-Uhlenbeck process-based mean reversion strategy with machine learning optimization. Features real-time execution, risk management, and performance analytics.

15%
Annual Return
1.8
Sharpe Ratio
-15%
Max Drawdown
67%
Win Rate
PythonPandasNumPySciPy+4 more
Impact
Delivered consistent trading performance with good risk controls
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Edgar SEC Parser
FEATURED
Data Engineering

Edgar SEC Parser

High-performance SEC filing extraction system with SGML and XBRL parsing. Processes complex regulatory documents with intelligent content detection.

High throughput
Processing Speed
Validated
Accuracy Rate
Excellent
Error Recovery
Production-scale
Documents Processed
PythonSQLAlchemyPostgreSQLDocker+2 more
Impact
Improved compliance processing efficiency
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Financial Data Pipeline
FEATURED
Data Engineering

Financial Data Pipeline

Scalable ETL pipeline for real-time market data ingestion, transformation, and analysis. Handles multiple data sources with automated quality checks.

Production-scale
Daily Records
High-availability
System Uptime
Low-latency
Processing Latency
8+
Data Sources
PythonApache SparkKafkaPostgreSQL+3 more
Impact
Enabled real-time analytics for investment portfolio
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All Projects

Browse through my complete portfolio of data engineering, trading, and machine learning solutions.

Showing 6 of 6 projects

Mean Reversion OU Trading Bot
⭐ FEATURED
Algorithmic Trading

Mean Reversion OU Trading Bot

Ornstein-Uhlenbeck process-based mean reversion strategy with machine learning optimization. Features real-time execution, risk management, and performance analytics.

15%
Annual Return
1.8
Sharpe Ratio
-15%
Max Drawdown
67%
Win Rate
PythonPandasNumPy+5 more
"The trading bot delivered solid performance with good risk management."
— TradeFlow Capital
View Details →
Edgar SEC Parser
⭐ FEATURED
Data Engineering

Edgar SEC Parser

High-performance SEC filing extraction system with SGML and XBRL parsing. Processes complex regulatory documents with intelligent content detection.

High throughput
Processing Speed
Validated
Accuracy Rate
Excellent
Error Recovery
Production-scale
Documents Processed
PythonSQLAlchemyPostgreSQL+3 more
"This parser significantly improved our regulatory compliance workflow."
— FinData Analytics
View Details →
Financial Data Pipeline
⭐ FEATURED
Data Engineering

Financial Data Pipeline

Scalable ETL pipeline for real-time market data ingestion, transformation, and analysis. Handles multiple data sources with automated quality checks.

Production-scale
Daily Records
High-availability
System Uptime
Low-latency
Processing Latency
8+
Data Sources
PythonApache SparkKafka+4 more
"The pipeline enhanced our data infrastructure capabilities."
— MarketScope Inc
View Details →
Moving Average Trading Bot
Algorithmic Trading

Moving Average Trading Bot

Dual moving average crossover strategy with dynamic position sizing and comprehensive risk management protocols.

12%
Annual Return
1.5
Sharpe Ratio
-18%
Max Drawdown
62%
Win Rate
PythonPandasBacktrader+3 more
"Consistent performance with excellent risk-adjusted returns."
— Algo Capital
View Details →
Risk Management Dashboard
Data Science

Risk Management Dashboard

Real-time risk monitoring system with VaR calculations, position tracking, and automated alert mechanisms.

15+
Risk Metrics
<100ms
Response Time
90%
Alert Accuracy
15+
Portfolios Monitored
PythonVue.jsRedis+3 more
"Essential tool for our daily risk management operations."
— RiskPro Holdings
View Details →
ML Prediction Engine
Machine Learning

ML Prediction Engine

Machine learning system for market prediction using ensemble methods, feature engineering, and real-time inference.

68%
Prediction Accuracy
66%
Precision
70%
Recall
68%
F1 Score
PythonTensorFlowXGBoost+3 more
"The prediction accuracy met our expectations with solid performance."
— Alpha Strategies
View Details →

Technical Expertise

Technologies and methodologies that power these innovative solutions.

Data Engineering

Python
SQL
Apache Spark
PostgreSQL
Docker
Kubernetes
Airflow

Machine Learning

TensorFlow
XGBoost
Scikit-learn
MLflow
PyTorch
Pandas

Trading Systems

Backtrader
QuantLib
NumPy
SciPy
Redis
WebSocket

Cloud & DevOps

AWS
Azure
Git
CI/CD
Terraform
Monitoring

Measurable Impact

Real results delivered across multiple projects and industries.

Revenue
Generated for Clients
Cost-Optimized
Infrastructure Design
High-Availability
System Architecture
Performance
Optimized Systems

Ready to Build Something Amazing?

Let's discuss your project requirements and create data solutions that drive real business value.

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Ready to Build Something Production-Ready?

Whether you need real-time data pipelines, trading systems, or ML in production — let's discuss how these approaches can solve your specific challenges.

Discuss Your Project

Have a specific data engineering or trading system challenge? Let's explore how these proven approaches apply to your situation.

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Technical Deep-Dives

Want to understand the technical details behind these implementations? Read detailed case studies and insights.

Read Articles

Why work with me:

Production-tested reliability
Real trading experience
Fast response times

Connect with me:

Your Data Solutions Partner

Data Engineer focused on building robust data pipelines, scalable architectures, and automated workflows. Enabling teams to make smarter, data-driven decisions through reliable systems and practical engineering skills.

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For full-time Data Engineering opportunities or consulting projects, let's discuss how I can help build reliable data infrastructure.

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