Learning to build with AI. With over 15 years of experience in data analysis and pattern recognition, I'm transitioning into AI Software Development, blending my background with modern tools to create user-focused, intelligent solutions.
I'm a results-driven engineer with a background in data-driven decision-making, risk analysis, and behavioral pattern recognition. After years running my own agency, I'm channeling that same analytical mindset into building scalable, AI-powered applications. I bring real-world expertise in interpreting complex data, identifying patterns, and creating systems that support intelligent decision-making.
// Hover each chapter to see how it shaped the engineer I'm becoming
New London, CT — 2012–2024
Running a full-service agency for 12 years meant designing operational systems from the ground up — client onboarding pipelines, claims workflows, and multi-vendor integrations. That's backend architecture and API orchestration without the code. I was also managing large volumes of structured and unstructured data daily, translating it into risk models and recommendations — the same logic that drives database design and AI decision systems. Every system I build today reflects those 12 years of building systems under real-world pressure.
Department of Homeland Security
At DHS I analyzed real-time data streams — visual, behavioral, environmental — to detect irregularities and classify threat patterns under pressure. That is exactly what machine learning models do: ingest streams, identify anomalies, and classify outcomes. I was also evaluating social engineering behaviors and threat indicators, which maps directly to cybersecurity threat modeling. The mindset of high-stakes, precision decision-making under uncertainty is now embedded in how I think about AI safety, security design, and system reliability.
Next Chapter Apprenticeship — 2026
I'm currently in a paid software engineering apprenticeship studying full-stack development, AI integration, cloud infrastructure on AWS, and workflow automation. I hold an (ISC)² Cybersecurity Certification and a Master of Science in Criminal Justice from Boston University. My portfolio already includes a geospatial mapping app (ReliefMesh), an AI-powered assistant, and multiple deployed front-end projects. I don't just bring beginner enthusiasm — I bring 15 years of pattern recognition, systems thinking, and real-world decision architecture to every line of code I write.
A growing toolkit spanning frontend, backend, AI, and cloud infrastructure.
Building accessible, modern interfaces with HTML, CSS, and JavaScript wired to robust API-driven backends.
Integrating large language models into professional workflows to build intelligent, decision-supporting tools.
Deploying scalable services with cloud-native architecture and automated CI/CD pipelines.
Designing API-driven data flows and managing real-time synchronization across distributed systems.
Foundational work in data structures, automation scripting, and computational thinking for AI workflows.
(ISC)² Certified in Cybersecurity (CC) — applying security-first thinking to every system I build.
Building dynamic mapping interfaces with custom 3D globe visualizations and logic-driven markers.
Connecting third-party tools and APIs to streamline operations through low-code automation platforms.
Honest signal of where I am right now — no fake progress bars.
“I don’t just bring beginner enthusiasm — I bring 15 years of pattern recognition, systems thinking, and real-world decision architecture to every line of code I write.”
A selection from my growing portfolio. Highlights include geospatial APIs, AI integrations, and serverless architecture.
Every credential, program, and degree — from Boston University to what I'm studying right now. Hover each card to expand.
Open to opportunities, collaborations, and conversations. Reach out anytime.