AI Engineer & Quantitative Developer

Building Intelligent
Systems That Perform

I design and build systems at the intersection of artificial intelligence, quantitative finance, and sports analytics.

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system-analysis

About

A Bit About Me

I'm a developer and engineer focused on building systems that leverage artificial intelligence and quantitative methods to solve complex problems.

My work spans from designing systematic trading strategies and quantitative research frameworks to developing computer vision platforms for sports analytics. I'm driven by the challenge of turning data into actionable intelligence.

I'm particularly interested in the intersection of machine learning, financial markets, and sports performance — areas where intelligent systems can create measurable impact.

Artificial Intelligence

Machine learning, computer vision, and deep learning applied to real-world systems.

Quantitative Trading

Systematic strategies, risk modeling, and data-driven portfolio construction.

Sports Analytics

Performance tracking and AI-driven coaching insights for athletes.

Projects

What I've Built

Project 01

Quantitative Trading Bot

Systematic research engine for robust strategy design

Walk-Forward

Validation method

Multi-Asset

Coverage

Risk-Parity

Allocation

A Python-based trading research engine built for systematic strategy development. The platform enables rigorous quantitative research through walk-forward testing, risk regime detection, and robust portfolio construction methods.

Python Walk-Forward Testing Risk Models Portfolio Construction

Key Features

  • Walk-forward optimization with out-of-sample validation
  • Risk regime detection and dynamic allocation
  • Portfolio construction with risk-parity methods
  • Modular strategy research framework

Project 02

FightIQ

Real-time coaching from computer vision signals

Real-time

Inference

CV + ML

Pipeline

Live

Feedback loop

An AI-powered boxing training platform that uses computer vision and machine learning to analyze punches in real time and provide intelligent coaching feedback. FightIQ helps athletes train smarter through data-driven performance insights.

Computer Vision Machine Learning Python Real-time Analysis

Key Features

  • AI vision analysis for punch detection and form
  • Real-time training insights and feedback
  • ML-powered coaching recommendations
  • Athlete performance tracking over time

Contact

Get In Touch

Interested in working together or want to discuss AI, trading systems, or sports analytics? Feel free to reach out.