Scott Fabini
Enterprise Customer Engineer at
Adobe / Marketo
Solving our largest customer's scalability problems, driving roadmap and strategy to meet enterprise customer needs
About Me
Bridging technical expertise with customer success
As a Senior Software Engineer on Adobe's Customer Engineering Team, I specialize in owning hard technical problems end-to-end for our largest enterprise accounts, from root-cause diagnosis through production fixes. My role uniquely combines deep technical depth with customer-facing responsibility, bridging the gap between engineering and customer needs.
Database Migration at Scale
Led the AWS Aurora migration, pruning 30TB+ and 20B+ rows and cutting downtime from 1000+ minutes to a 99.9% availability SLA
Revenue-Generating Systems
Designed a Splunk-based Performance Tiers system that generated $10M in first-year revenue
Embedded Technical Leadership
Spent 7 years as the primary customer-facing technical lead for AWS, Adobe's largest customer
Before software, I spent 10 years in hardware systems architecture at Motorola and Radisys, including a co-invented patent for a re-configurable PCI-Express switching device, a background that still shapes how I think about systems end-to-end. More recently, I've been exploring how tools like Claude, LLM Skills, and MCP can streamline enhancement workflows on our platform.
Skills
Technologies and tools I work with
Customer-centric
SRE Observability - finding and fixing bottlenecks
Performance Benchmarking & Unit Testing
Backend
Datastores & Streaming
Frontend
Experience
My professional journey and work experience
Adobe / Marketo
2017 - Present•Led the Aurora migration, pruning 30TB+ and 20B+ rows and cutting UI downtime from 1000+ minutes to a 99.9% SLA for AWS, our largest customer
•Designed a Splunk-based Performance Tiers system generating $10M in first-year revenue
•Drove a Smart Campaign POST API enhancement positioning the platform for agentic workflow automation via LLM Skills and MCP
•Built a Claude Skill automating enhancement-request submission through Jira, used to process 26 team requests
•Compiled CSO and RCA data to defend against $100K+ per-incident service credit claims
•Designed a Java Spring Boot microservices suite streaming platform events over Kafka, enabling 10 enterprise customers to audit activity and monitor usage
•Benchmarked MySQL scalability across Google Cloud and AWS Aurora, achieving 80K queries/second and confirming a cloud migration was viable at scale
•Served as Customer Lead for AWS for 4 years, driving dozens of RCAs and enhancement requests as the primary embedded technical point of contact
•Reduced navigation tree load time from 20 seconds to under 2 seconds for Microsoft, our largest customer at the time, by fixing a memory-inefficient deserialization step
•Extended the Smart Campaign API to support GET queries, laying groundwork for customer-built campaign automation
Portland State University
2015 - 2016•Graded graduate level math-heavy course assignments for ~10 students per class, solving Taylor Series and other interpolation and approximation problems.
•Demonstrated introductory object oriented concepts and data structures for ~30 students per class in weekly whiteboard sessions.
Radisys
2010 - 2014•Developed business cases for 4 generations of Intel Core/Atom processors in small form factor motherboards, driving revenues ranging from $3M-$15M
•Contributed to the PICMG standards committee defining the COM Express hardware specification
Motorola
2000 - 2010•Defined hardware architecture for 40GbE routers, dual-socket compute blades, power supplies and backplanes for 99.999% high-availability telecom products
•Led hardware architecture for a 15-engineer design team in Shenzhen, China
•Co-inventor, US Patent 7,516,263: Re-configurable PCI-Express switching device
Featured Projects
A collection of my recent work and personal projects

An Interview with Susan B. Anthony
Winner AVIOS.org NLP competition - An interactive interview experience using Natural Language Processing to simulate conversations with Susan B. Anthony.

Machine Learning
Implementation of various machine learning algorithms including SVM, K-Means Clustering, and Bayesian Classifier for data analysis and classification.

AI Portfolio
A modern portfolio website that leverages AI to create beautifully styled web content.

Todo List
A full-stack todo list application with real-time updates, built with Next.js and Spring Boot.

Gomoku
A strategic board game implementation with Java and Android, featuring game logic and multiplayer capabilities.

Original Portfolio
A previous version of my portfolio website showcasing my earlier work and projects.

Calendar
A full-stack calendar application with Node.js backend deployed on AWS EC2, featuring a RESTful API for appointment management.

Album Notes
A modern web application for managing and organizing music album notes, built with React and modern JavaScript features.
Education
My academic background and qualifications
Portland State University
2014 - 2017Masters of Science in Computer Science
Focused on software engineering fundamentals including enterprise design patterns, full-stack web development, functional programming, and machine learning via project-focused coursework.
Purdue University
1995 - 2000Bachelor of Science in Electrical Engineering
Focused on hardware engineering fundamentals including C coding, VLSI FPGA programming, microprocessor design, digital logic design, and analog filter design.