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technosheen
Verified Resume • 2026 Profile

Sean Mahoney

Software Engineer II • Cambridge Investment Research

Adobe Experience Manager & HubSpot CMS Expert • AI Specialist • Enterprise Integrations

LinkedIn Profile
St. Petersburg, FL (Tampa Bay)
seantmahoney92@gmail.com
(917) 291-8485
g.dev/technosheen

Professional Summary

I'm a software engineer making a deliberate move into AI development — combining 5+ years of enterprise web engineering with hands-on AI education and real-world automation experience. My background spans Adobe Experience Manager, HubSpot CMS, React, and cloud-based integrations across companies like Cambridge Investment Research, The Pipeline Group, American Express, Accenture, and others.

I've spent years building scalable platforms, connecting APIs, and automating workflows that drive business results. Now I'm applying that same engineering mindset to the AI layer — building systems that think, adapt, and automate. I'm currently pursuing an AS in AI Software Engineering at Maestro — The AI University, and I hold certifications in Generative AI Fundamentals, AI & Career Empowerment, and Data Science. My technical focus right now is on LLM integration, retrieval-augmented generation (RAG), prompt engineering, and intelligent workflow automation.

Quality Assurance TestingEnterprise ConsultingBusiness & Integration ArchitectureLLM Integration & RAGAEM & HubSpot CMS
Capabilities & Tech Stack

Technical Expertise

Combining 5+ years of enterprise engineering with modern AI development and intelligent automation

Top Skills & Enterprise Architecture

Foundational enterprise methodology from Fortune 500 consulting & financial engineering

Quality Assurance Testing
Enterprise Consulting
Business & Integration Architecture
Platform Modernization
Dispatcher Caching & Performance
Production Pipeline Support
Financial Compliance

AI & Intelligent Automation

Applying software engineering mindset to LLMs, RAG, and agentic workflows

LLM Integration
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Intelligent Workflow Automation
AI-Assisted Dev (Claude, Cursor, Copilot)
Data-Driven Decision Making
Reliable & Explainable AI Systems

Enterprise CMS & Frontend

Scalable content management solutions and polished CRM-connected frontend experiences

Adobe Experience Manager (AEM)
AEM Cloud Service & 6.4/6.5
HubSpot CMS Development
React.js
TypeScript / JavaScript
Next.js
Reusable Component Libraries
Content Authoring Workflows

Cloud Platforms & Integrations

Enterprise API architecture and cloud-based integrations connecting systems at scale

REST APIs & Webhooks
CRM-to-Frontend Pipelines
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
PostgreSQL & MySQL
Adobe Analytics & Adobe Target
Git & CI/CD Pipelines

Spoken Languages

Professional communication and collaboration

English • Full Professional
Spanish • Limited Working
Career History

Professional Experience

From enterprise web engineering and content platforms to AI workflow automation

Cambridge Investment Research, Inc.

Current Role

Software Engineer II

St. Petersburg, FLMay 2026 – Present (5 months)

Building and maintaining enterprise AEM experiences for a nationwide network of independent financial advisors, while extending my engineering foundation into AI-driven workflow automation.

Key Responsibilities & Measurable Impact

  • Develop and customize AEM components, templates, and authoring workflows that give content teams flexible, reusable building blocks.
  • Architect API-driven integrations connecting AEM to external systems, applying the same enterprise integration patterns that underpin LLM and RAG-based automation.
  • Configure content approval and publishing workflows to streamline the author-to-publish lifecycle.
  • Optimize AEM performance and Dispatcher caching while enforcing security and scalability best practices.
  • Support deployment pipelines and troubleshoot production issues to keep publishing environments stable and reliable.
  • Contribute to platform modernization, aligning AEM architecture with growing content, traffic, and compliance demands in a regulated financial-services environment.

Technologies & Domain Focus

Adobe Experience ManagerReactTypeScriptREST APIsDispatcher CachingCI/CD PipelinesEnterprise IntegrationsAI Automation
Verified Credentials

Certifications & Credentials

Formal training and industry credentials spanning Generative AI, Data Science, and Cloud Architecture

AI Credential

Generative AI Fundamentals

Accredited Credential

Foundations of generative models, prompt design, and foundational LLM architectures.

View Credential
AI Application

Artificial Intelligence and Career Empowerment

AI & Career Certification

Applied artificial intelligence strategies and enterprise productivity integration.

View Credential
Data Science

Introduction to Data Science

University of Maryland / edX

Data analytics, statistical modeling, exploratory data analysis, and predictive workflows.

View Credential
Cloud Verified

Google Cloud Developer Profile

Google Cloud Platform

Verified public credentials in cloud infrastructure, containerization, and GCP services.

View Credential
Academic Background

Education

Combining formal AI software engineering with a rigorous analytical business degree

Currently Pursuing

Maestro — The AI University

Associate of Science - AI Software Engineering

Artificial Intelligence

October 2025 – October 2027United States

Immersive curriculum focused on LLM integration, retrieval-augmented generation (RAG), prompt engineering, AI agent architectures, and autonomous workflow automation.

Graduated

Pace University - Lubin School of Business

Bachelor of Business Administration (B.B.A.)

Accounting and Internal Audit

2013 – 2016New York, NY

Analytical background in financial compliance, cost controls, and business process analysis that bridges technical execution with executive business value.

Transferred

Suffolk University

Transferred Coursework

Global Business and Information Systems

2011 – 2013Boston, MA

Foundational coursework in global business frameworks, software concepts, and enterprise information systems.

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