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I'm a data science and ML engineer and founder/CTO focused on building automated cloud ML systems and LLM-integrated pipelines. Since May 2021 I’ve led Saoirse Analytics, designing a cloud-based automated cryptocurrency trading system with end-to-end ML automation, custom time-series forecasting, and LLM-based sentiment analysis, all backed by an AWS-based MLOps framework with automated retraining and seamless deployment. I enjoy turning complex data into robust, production-ready solutions and collaborating across teams. Prior to that I built high-performance ML libraries in Rust, developed a Bayesian hyperparameter optimization framework, and created computer vision models for UI element detection at Pearl Bridge Partners, with a track record of delivering fast, reliable ML systems and practical tooling for research-to-production workflows. I’m excited to apply rigorous engineering and collaboration to new ML and AI challenges.…I'm a data science and ML engineer and founder/CTO focused on building automated cloud ML systems and LLM-integrated pipelines. Since May 2021 I’ve led Saoirse Analytics, designing a cloud-based automated cryptocurrency trading system with end-to-end ML automation, custom time-series forecasting, and LLM-based sentiment analysis, all backed by an AWS-based MLOps framework with automated retraining and seamless deployment. I enjoy turning complex data into robust, production-ready solutions and collaborating across teams. Prior to that I built high-performance ML libraries in Rust, developed a Bayesian hyperparameter optimization framework, and created computer vision models for UI element detection at Pearl Bridge Partners, with a track record of delivering fast, reliable ML systems and practical tooling for research-to-production workflows. I’m excited to apply rigorous engineering and collaboration to new ML and AI challenges.

Raymond Allen

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I'm a data science and ML engineer and founder/CTO focused on building automated cloud ML systems and LLM-integrated pipelines. Since May 2021 I’ve led Saoirse Analytics, designing a cloud-based automated cryptocurrency trading system with end-to-end ML automation, custom time-series forecasting, and LLM-based sentiment analysis, all backed by an AWS-based MLOps framework with automated retraining and seamless deployment. I enjoy turning complex data into robust, production-ready solutions and collaborating across teams. Prior to that I built high-performance ML libraries in Rust, developed a Bayesian hyperparameter optimization framework, and created computer vision models for UI element detection at Pearl Bridge Partners, with a track record of delivering fast, reliable ML systems and practical tooling for research-to-production workflows. I’m excited to apply rigorous engineering and collaboration to new ML and AI challenges.…I'm a data science and ML engineer and founder/CTO focused on building automated cloud ML systems and LLM-integrated pipelines. Since May 2021 I’ve led Saoirse Analytics, designing a cloud-based automated cryptocurrency trading system with end-to-end ML automation, custom time-series forecasting, and LLM-based sentiment analysis, all backed by an AWS-based MLOps framework with automated retraining and seamless deployment. I enjoy turning complex data into robust, production-ready solutions and collaborating across teams. Prior to that I built high-performance ML libraries in Rust, developed a Bayesian hyperparameter optimization framework, and created computer vision models for UI element detection at Pearl Bridge Partners, with a track record of delivering fast, reliable ML systems and practical tooling for research-to-production workflows. I’m excited to apply rigorous engineering and collaboration to new ML and AI challenges.

Available to hire

I’m a data science and ML engineer and founder/CTO focused on building automated cloud ML systems and LLM-integrated pipelines. Since May 2021 I’ve led Saoirse Analytics, designing a cloud-based automated cryptocurrency trading system with end-to-end ML automation, custom time-series forecasting, and LLM-based sentiment analysis, all backed by an AWS-based MLOps framework with automated retraining and seamless deployment. I enjoy turning complex data into robust, production-ready solutions and collaborating across teams.

Prior to that I built high-performance ML libraries in Rust, developed a Bayesian hyperparameter optimization framework, and created computer vision models for UI element detection at Pearl Bridge Partners, with a track record of delivering fast, reliable ML systems and practical tooling for research-to-production workflows. I’m excited to apply rigorous engineering and collaboration to new ML and AI challenges.

Skills

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Expert

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Work Experience

Machine Learning Engineer at Pearl Bridge Partners

May 1, 2022 - May 1, 2022

Developed high-performance machine learning and optimization libraries in Rust, achieving faster production performance than existing implementations. Designed and deployed a Bayesian hyperparameter optimization framework, taking it from initial specification to production deployment. Built a deep learning computer vision model for UI element detection using PyTorch and AWS, enabling automated interface parsing and visual analysis.

Founder & CTO at Saoirse Analytics

May 1, 2021 - November 12, 2025

Designed and deployed a cloud-based automated cryptocurrency trading system with end-to-end ML automation. Built custom time-series forecasting models for financial data using deep learning and classical machine learning methods. Integrated LLM-based news and social-media sentiment analysis to enhance predictive signal generation. Implemented a full MLOps framework enabling continuous data acquisition, automated retraining, and seamless redeployment of updated models, supported by infrastructure-as-code on AWS. Conducted extensive backtesting, A/B testing, and hyperparameter optimization to maximize model robustness.