Tommy Xaypanya

Lead AI Scientist & Developer | Quantum Computing Revolutionist

Memphis, TN | GitHub: ttracx

About Me

I'm an AI and Machine Learning expert with over 18 years of experience driving innovation across IT security, cloud architecture, and enterprise-scale AI systems. My work spans the design and deployment of advanced Large Language Models (LLMs), computer vision platforms, and AI-powered automation that unlock transformative capabilities for organizations.

Most recently at Gain Energy (until March 2025), I served as Lead AI Scientist and Developer, where I architected and implemented advanced AI solutions that bridged innovation and operational excellence within the oil and gas sector. I led the development of the UPSTRIMA AI Suite and the proprietary OGAI LLM family, creating specialized AI models tailored to industry-specific needs:

Notable AI Models Developed:

  • OGAI 3.1 Engineer: Customized LLM framework tailored for oil and gas engineering complexities
  • OGAI-Quantum: Hybrid quantum-classical AI for reservoir, seismic, and production optimization
  • OGAI-R1 (Reasoning): Advanced AI reasoning for oil & gas problem-solving and complex engineering logic
  • OGMOE: Mixture of Experts (MoE) model for drilling optimization
  • OGAI-8x22B: High-performance LLM for engineering reasoning & knowledge retrieval

My current focus is on the frontier of quantum computing integration with AI, exploring how hybrid classical-quantum systems can push the boundaries of what's possible in reasoning, optimization, and intelligent automation.

As a patent holder in AI and high-performance computing, I bring expertise in:

  • AI/ML: TensorFlow, PyTorch, LLM Development, Computer Vision, Quantum ML
  • Cloud & Infrastructure: Multi-cloud architecture, Docker, Kubernetes, Distributed Systems
  • Security: Zero-trust architecture, GDPR/HIPAA/ISO 27001 compliance, Data Protection
  • Development: Python, JavaScript, Full Stack, Edge Computing for AI

I'm passionate about creating AI systems that are not only powerful, but also secure, explainable, and built for real-world complexity. Whether it's orchestrating distributed model pipelines or optimizing multi-cloud deployments for AI performance, I bring a vision that fuses deep technical experience with strategic foresight.