About

I specialize in high-performance computing, scientific algorithms, and real-time data processing, with over 15 years of experience developing production-grade systems in C++ and Python. My work focuses on solving complex, data-intensive problems through numerical methods, large-scale simulations, and advanced time-series analytics.

I co-founded Universal Seismic, where I developed fracture imaging and inversion technologies that transformed academic research into commercial SaaS products adopted by major energy operators in North America. My background spans algorithm design, signal extraction, scalable cloud platforms, and high-throughput data pipelines.

Core Expertise

  • High-Performance Algorithms & Parallel Computing
  • Real-Time Data Processing and Low-Latency Systems
  • Scientific Computing: Inversion, subsurface modeling, fracture imaging
  • Large-Scale Simulations and Predictive Modeling
  • Production-level C++ and Python Development
  • Scalable Cloud and SaaS Architectures

I’m currently focused on applying advanced numerical methods and scientific computing to the energy transition, climate technology, and real-time, data-driven applications.

If you'd like to discuss collaboration, research, or technical challenges, feel free to get in touch.