Hi, I’m
Matt Liddy.
Martech Architect + Data Enthusiast
About Me
I am passionate tech enthusiast based in Dallas, TX. With extensive experience leading global technology teams, I've built a career around solving challenging problems in marketing automation, data science, and AI.
Currently, I lead development teams specializing in marketing technologies, particularly within the Adobe Experience Cloud ecosystem. I have a keen interest in the full lifecycle of real-time data, scalable solutions, personalized user experiences, and ultimately optimization.
Beyond my day-to-day, I have a strong interest in data science, machine learning, and AI, and I'm always exploring new ways to leverage data-driven insights to deliver better business outcomes. Whether it's building predictive models or optimizing complex workflows, I enjoy turning big ideas into actionable solutions.
When I'm not in front of a screen, you'll might find me running marathons or diving deep into investment strategies. I thrive on staying busy, pushing my limits, and continuously growing both professionally and personally.
Education
Master of Business Administration (MBA) - IT Management
University of Massachusetts, Lowell (Manning)
Bachelor of Science - Computer Science
Texas Christian University
Undergrad Research
Skin Cancer Image Classification with Parallelized Deep Artificial Neural Network
We created an Artificial Neural Network from the ground up using C++ and trained it on images of skin cancer to classify as malignant or benign.
Professional Experience
Lead Developer
Epsilon (Publicis Groupe)
Dallas, TX
Leading global ACC Platform Team managing developers for Fortune 500 hospitality client
Spearheading enterprise-wide migration to Adobe Campaign V8, reducing data model footprint by 75% and driving significant cost savings.
Modernizing data architecture through Federated Data Access, AEP Federated Audience sync, and real-time
Kafka streaming — achieving 100% data integrity while eliminating manual file transfers and reducing latency
Established Dark Launch environment, RBAC, and standardization through ‘Gold Standard’ Templates, enhancing operational security and governance.
Senior Developer
Epsilon (Publicis Groupe)
Dallas, TX
Architected rules-based-engine that dynamically builds campaigns, selects audiences through constructed queries, and assigns targeting via metadata, eliminating manual campaign modification and reducing test cycle times while significantly increasing speed to market.
Developed custom prioritization engine managing billions of email records annually, maximizing reach, limiting customer fatigue, and ensuring compliance with complex business rules.
Built transactional real-time messaging system integrating Confluent, Adobe App Builder, AEM, Branch.io, Adobe Analytics, ACC, and external ESP — featured at Adobe Summit Keynote 2024
Led ACC infrastructure migration to AWS S3, modernizing & securing 50+ critical file transfer processes
Developer I & II
Epsilon (Publicis Groupe)
Dallas, TX
Developed C# .NET gamification platform for major US airline to incentivize employee participation in loyalty program customer acquisition
Integrated live geofence events for multinational fast-casual restaurant chain, delivering low-latency marketing experiences
Implemented Tencent (TPNS) integrations for localized marketing in GC markets, collaborating with international vendor teams.
Machine Learning Intern
London, UK
Created complex queries to gather data from PostgreSQL Database
Cleaned, scaled, and prepared user data for vector use
Applied Natural Language Processing Model to parse user reviews
Utilized KNN Algorithm to develop a recommendation engine for app users
Cybersecurity Intern
Franklin Lakes, NJ
Analyzed log files for unauthorized access to network and escalated control issues
Developed PowerShell scripts to detect, block, and report unauthorized access
Collaborated in an agile environment to develop, document, and deploy security scripts
Web Development & IT Intern
Avon, NJ
Wrote and debugged server/client-side code for company website
Reviewed Google Analytics Data and strategized ways to optimize SEO
Located, diagnosed, and fixed website problems, including broken links, typographical errors, and formatting inconsistencies
Undergrad Capstone Project
AP Analytica
Developing Analytics Web App for the client to detect Access Point (AP) errors on a network of 3200+ APs
Creating system to collect data from Cisco Prime API, analyze and store results in MySQL DB
Utilizing the anomaly detection algorithm LOF to label malfunctioning APs
