BRYAN RUIZ

• To use technology to make a positive impact on humanity.

Founder and principal ML engineer of Scarlet Beast, building Hiss (a production poker AI) and GROWL (a crypto/forex exchange and algorithmic-trading platform) — owning the full ML lifecycle from distributed training infrastructure to real-time, latency-sensitive inference in money-moving environments. Work spans deep reinforcement learning, computer vision, time-series modeling, and the MLOps that ties them together across heterogeneous, cost-optimized compute.

Hiss — six generations of neural networks (M1 → M6):

• M1 — Baseline: first supervised model trained on hand-history corpora; established the feature schema (cards, position, stack depth, pot/bet ratios) and the evaluation harness (exploitability, win-rate in bb/100) used to grade every later generation. Built in PyTorch with NumPy / Pandas pipelines.
• M2 — Self-play & regret minimization: moved from supervised learning to self-play reinforcement learning with Counterfactual Regret Minimization (CFR / Deep CFR) and Monte Carlo rollouts, pushing play toward game-theory-optimal (GTO) strategies and lower exploitability.
• M3 — Distributed scale-out: re-architected training to run distributed across Oracle Cloud Infrastructure (OCI Ampere A1) and Kaggle GPU/TPU kernels, parallelizing self-play data generation across pools of low-cost processors; introduced distributed data parallelism, mixed-precision training, gradient accumulation, and a sharded self-play worker fleet.
• M4 — Architecture & abstraction overhaul: redesigned the network architecture and state/action abstraction (card embeddings, bet-size bucketing, deeper value networks) on top of M3's distributed data engine, with a heavier self-play schedule and a tightened train→evaluate→promote loop A/B-graded against the M-series baselines.
• M5 — Generalization & robustness: hardened the model across all eight game variants and tournament / casino formats, reducing overfitting to specific opponent pools and stack configurations and improving exploitability under off-distribution play.
• M6 — Production inference: optimized trained models for real-time serving on the hot decision path — ONNX export, quantization, and Visual C++ inference bindings with latency budgeting to deliver GTO-grade decisions inside live gameplay timing constraints.

Distributed training & MLOps:

• Built training on heterogeneous, cost-optimized compute: AWS SageMaker as the managed backbone for large training jobs, hyperparameter tuning, experiment orchestration, and model hosting / endpoints; Oracle Cloud (OCI Ampere A1) and Kaggle GPU/TPU kernels for high-volume self-play data generation on spot / free-tier capacity.
• Tooling: PyTorch, NumPy, Pandas, scikit-learn, CUDA / cuDNN, Docker, and MLflow / Weights & Biases for experiment tracking and reproducible, containerized pipelines.

Computer vision:

• OpenCV for image preprocessing, ROI / object detection, and table-state extraction, with Tesseract OCR reading cards, stacks, and bet amounts into structured features that feed directly into the Hiss inference pipeline.

GROWL — quant / algorithmic trading (fintech):

• Extended the same ML platform to live markets: time-series forecasting and signal generation over crypto / forex data (LSTM / Transformer and gradient-boosted models), a bot marketplace for algorithmic strategies, backtesting and walk-forward validation, and live order-book / market-data ingestion.
• Owned the surrounding fintech concerns — execution latency, risk controls, and a unified accounting layer ("The House Ledger") exposed via REST and GraphQL APIs.

Platform & infrastructure:

• Visual C++ high-performance inference engine, Python services, a React + Laravel application surface exposing public REST / GraphQL APIs, an SSO auth gateway unifying every product, and multi-tenant Linux / PHP-FPM hosting across the ecosystem.

Hiss source: https://github.com/christianscarlet2/hiss

Founder of Scarlet Consulting Corporation, an AI-empowered software consulting and digital infrastructure company focused on scalable web platforms, automation systems, performance engineering, and enterprise modernization.

Blending technical leadership with growth strategy and technical sales, I specialize in helping businesses transform operational bottlenecks into scalable systems using AI-assisted development workflows, modern cloud infrastructure, and full-stack engineering expertise.

With 15+ years of experience across enterprise and startup environments, I work directly with decision makers to architect and deliver high-performance solutions across eCommerce, SaaS, automation, and digital operations.

Core focus areas include:

• AI-assisted software development and automation
• Full-stack LAMP, Node.js, React.js, and cloud engineering
• Magento / Adobe Commerce and Shopify Plus ecosystems
• Technical sales, solution consulting, and client strategy
• Performance optimization and Core Web Vitals improvements
• AWS infrastructure, CI/CD pipelines, and DevOps workflows
• API integrations, Stripe payment systems, and scalable architecture
• Enterprise migrations and modernization initiatives

My approach combines rapid execution, automation-first thinking, and lean operational strategy to help companies move faster, reduce technical debt, and scale intelligently.

Now consolidated under Scarlet Beast, a conscious technology organization: applied AI and automation, performance engineering, platform modernization, and the ML systems the organization runs in production for itself.

• Made customizations to Angular application/widget to streamline app
• Identified and addressed issues is site performance related to Tealium Tags
• Addressed CORS issues with site on an enterprise level working with CloudFront team
• Investigated and addressed decrease in performance issues with public website
• Created and implemented a performance optimization framework for public website
• Framework was built in Node.JS and implemented in a serverless design using AWS Lambda Functions and AWS Simple Queue Service
• Obtained higher performance scores for Time to First Byte, Largest Contentful Paint, First Contentful Paint, Content Layout Shifts, And Speed Index
• "Serverless" Framework used to implement serverless functionality with performance optimizations.
• Increased Google PageSpeed Insights scores dramatically using performance optimization techniques
• Worked closely with Tealium to identify strategies to increase performance with impact caused by numerous Tealium Tags
• Worked with WPEngine Team to integrate performance optimizations, including tools like NewRelic

• Assisted in parallel migration of Magento Enterprise to Magento 2 and Shopify Plus.
• Continuous Integration Pipeline was setup for Wordpress, React.js, and Magento assets using Platform.sh.
• Introduced and effectively worked with Data Wrangling Pipelines.
• Frontend Development, Backend Development of Custom Kits.
• Custom Kits allowed customer to choose a combination of products dynamically that were bundled for sale

• Custom architected front-end with Magento Backend for selling artwork pieces
• New reporting tab for tracking frames sold and financial data points
• Modified sales order tab to capture additional financial information
• Extended Magento base modules with Zend Framework custom SQL queries
• Migrated credit memos and invoices from older Magento install using custom scripts
• Bug fixing, front-end implementation, and plugin installation

• Crafted custom voucher product type with event-based invoice creation and code delivery
• Extended Unigry's gift certificate module to streamline voucher functionality
• Created custom widget for displaying product listings by category
• Integrated Single Sign On between Refinery29 custom framework and Magento site
• Digested API to display Refinery29 articles on Magento platform
• Integrated GIT with Jenkins for one-click code deployments
• Produced RFP response, REST API documentation, and project scope of work

• Designed Magento Enterprise modules for product import and other functions
• Deep understanding of Magento internals: EAV system, cron scheduling, Adminhtml
• Implemented template pattern for import module with MVC integration
• Implemented Event/Observer hooks for product import automation
• Created production server setup documentation
• Setup .NET developers with Ubuntu virtual machines
• Trained Windows administrator on RedHat Enterprise Edition 5.6
• Integrated Apache, Cherokee, MySQL, Memcached, and NFS for database servers

• Mapped category and product data to SOLR for orchestration layer
• Refactored existing APIs to be stateless using Magento Controllers
• Created new APIs for SOLR integration
• Designed Magento Module for storing XML filter information
• Managed EAV attributes installation via Magento setup scripts
• Worked extensively with Magento Indexes and SOLR indexing

• Themed new Magento eyewear store
• Implemented shared session experience between two stores
• Profiled Magento core using XDebug to identify performance bottlenecks
• Completed AJAX store locator for multiple store support
• Implemented PHPUnit for unit testing modules and functions
• Researched SAML, openSSO, and CentralAuth security standards
• Load tested and profiled security solutions

• Assisted with launch of newly developed Vizio.com
• Upgraded Vizio to Magento Enterprise 1.10
• Architected attribute system with PHPUnit unit tests
• Wrote APIs for Zend Framework to Magento integration
• Provided technical consultation to contracted development team

• Developed frontend and backend components on Magento Enterprise ecommerce platform
• Created Price Comparison Engine extension for uploading product feeds
• Uploaded product feeds to Google Product Service, Shopping.com, Shopzilla, and Pronto
• Developed and integrated responsive front-end design
• Configured load-balanced Redhat servers with MySQL

• Integrated Recipe Swap feature for daily meal planning ("What's for Dinner?")
• Built CakePHP 1.1 site with Facebook XFBML invite feature
• Implemented Prototype drag and drop for Daily Meal Planner interface
• Integrated Uploadify Flash Uploader, jQuery Carousel, and Color Box
• Acted as Lead Developer and Technical Project Manager of small team

• Front & backend design & development on high traffic sites (Purex.com, PurexInsiders.com, SocialMixHub.com, MarkGirl.com, MJMinigolf.com, HanesPink.com)
• Created Hanes Dashboard using JSON-RPC server/client for 5 Hanes brand sites
• Built jQueryUI Slider, Dialog, DatePicker with jQuery Address for deep linking
• Developed CakePHP front-end with MySQL data store and automated nightly cron statistics collection
• Technical writing including proposals, specifications, timelines and documentation
• Implemented realtime server monitoring using Zabbix for 24/7 monitoring
• Managed partial server administration of 50+ servers across EC2, Slicehost, and Rackspace
• Grid-based, cross-browser compliant layouts with extensive jQuery and CakePHP development