Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Matthew B. LaFoy, an AI Product Engineer and Lead with extensive experience architecting cloud-native microservices and AI-integrated backend systems. I design secure IDP pipelines, integrate intelligent agents, and drive decision-ready insights using LLMs and NLP. I also mentor engineering teams and translate innovative technical designs into scalable, healthcare-focused solutions. I thrive on collaborating with stakeholders to deliver practical AI-infused software that improves operations and outcomes in healthcare and beyond.…I'm Matthew B. LaFoy, an AI Product Engineer and Lead with extensive experience architecting cloud-native microservices and AI-integrated backend systems. I design secure IDP pipelines, integrate intelligent agents, and drive decision-ready insights using LLMs and NLP. I also mentor engineering teams and translate innovative technical designs into scalable, healthcare-focused solutions. I thrive on collaborating with stakeholders to deliver practical AI-infused software that improves operations and outcomes in healthcare and beyond.

Matthew B LaFoy

AI Engineer, Full Stack Developer, Data Scientist, +4





I'm Matthew B. LaFoy, an AI Product Engineer and Lead with extensive experience architecting cloud-native microservices and AI-integrated backend systems. I design secure IDP pipelines, integrate intelligent agents, and drive decision-ready insights using LLMs and NLP. I also mentor engineering teams and translate innovative technical designs into scalable, healthcare-focused solutions. I thrive on collaborating with stakeholders to deliver practical AI-infused software that improves operations and outcomes in healthcare and beyond.…I'm Matthew B. LaFoy, an AI Product Engineer and Lead with extensive experience architecting cloud-native microservices and AI-integrated backend systems. I design secure IDP pipelines, integrate intelligent agents, and drive decision-ready insights using LLMs and NLP. I also mentor engineering teams and translate innovative technical designs into scalable, healthcare-focused solutions. I thrive on collaborating with stakeholders to deliver practical AI-infused software that improves operations and outcomes in healthcare and beyond.

Available to hire

I’m Matthew B. LaFoy, an AI Product Engineer and Lead with extensive experience architecting cloud-native microservices and AI-integrated backend systems. I design secure IDP pipelines, integrate intelligent agents, and drive decision-ready insights using LLMs and NLP. I also mentor engineering teams and translate innovative technical designs into scalable, healthcare-focused solutions.

I thrive on collaborating with stakeholders to deliver practical AI-infused software that improves operations and outcomes in healthcare and beyond.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

AI/ML Software Engineer at New Lantern.ai

March 1, 2024 - Present

Engineered hybrid AI chat systems using GPT-4 and custom transformer models, integrating cloud-native microservices for secure data processing and enhanced user interactions within customer service applications. Designed retrieval-augmented generation (RAG) pipelines with vector embeddings to enable context-aware responses and accurate data extraction in Intelligent Document Processing workflows. Optimized prompt engineering, chain-of-thought prompting, and model fine-tuning to reduce errors by about 20% and improve reliability of AI outputs. Built AI-focused APIs with Next.js and Python, streamlining frontend-backend communication and leveraging AWS Cloud Services for scalable, low-latency responses. Customized established AI models to address evolving business use cases, embedding NLP and secure microservice integration to boost operational efficiency and compliance.

AI Software Engineer / Full Stack Developer at LawHQ

February 1, 2024 - October 4, 2025

Built CallerHQ AI platform to process legal calls, delivering real-time transcription, intent classification, and automated response suggestions within a secure cloud-native architecture. Adapted AI models for classification and NLP tasks, ensuring accurate processing of legal data and compliance with industry standards. Developed predictive sales models using Chronos zero-shot forecasting and ensemble ML methods to deliver actionable insights for strategic decision-making. Implemented RAG pipelines with LangChain for contextually accurate AI responses, emphasizing integration of cloud-based services and secure microservices architectures. Customized and integrated existing NLP models within business workflows, leveraging Python and Node.js to streamline operations without deploying full AI systems. Optimized model inference pipelines on AWS and GCP, ensuring improved performance and cost efficiency while maintaining secure and interoperable systems.

Lead Full Stack Developer at Omnilegion Technology

January 1, 2021 - October 4, 2025

Led the development of an agency chatbot system integrating AWS Lex/Connect with spaCy NLP pipelines. Built infrastructure combining multiple AWS services to support scalable agency bots. Managed a development team delivering projects using Python, Django, Express.js, and React.js. Enhanced chatbots with NLP workflows for entity recognition, intent classification, and automated processes. Designed modular backend architecture supporting AI integration, microservices, and real-time processing.

Full Stack Developer at Omnilegion Technology

January 1, 2017 - October 4, 2025

Developed enterprise web applications with Django REST and React.js for 10K+ users. Built scalable APIs and optimized databases to improve performance and throughput. Created interactive dashboards for business intelligence and real-time data visualization.

AI/ML Software Engineer at New Lantern.ai

March 1, 2024 - Present

AI Software Engineer / Full Stack Developer at LawHQ

February 1, 2024 - October 4, 2025

Constructed the CallerHQ AI platform to process legal calls, incorporating real-time transcription, intent classification, and automated response suggestions through secure and scalable cloud-native architectures. Adapted established AI models for classification and NLP tasks, ensuring accurate processing of legal data and compliance with industry standards. Developed predictive sales models using Chronos zero-shot forecasting and ensemble ML methods. Implemented RAG pipelines with LangChain and optimized model inference on AWS and GCP.

Lead Full Stack Developer at Omnilegion Technology

January 1, 2021 - October 4, 2025

Full Stack Developer at Omnilegion Technology

January 1, 2017 - October 4, 2025