Hello, I'm

Eric Park

Senior Software Engineer at QXO

Building AI-powered systems at the intersection of machine learning, real-time infrastructure, and enterprise-scale pricing intelligence.

Get in Touch View My Work
Eric Park

About Me

I'm a Senior Software Engineer at QXO on the RevX - Pricing team, where I architect and build AI-powered Configure, Price, and Quote (CPQ) systems that leverage MLOps pipelines to deliver real-time pricing intelligence. My work directly addresses enterprise-scale pricing optimization, driving measurable margin improvement and revenue growth.

Previously at Google for 4 years, I designed and scaled Cloud Billing systems handling thousands of queries per second. With experience spanning cloud infrastructure, healthcare software at Epic, blockchain at Fantom, and data analysis at PwC Korea, I bring a uniquely diverse perspective to solving complex engineering challenges. I hold a B.S. in Computer Engineering from Purdue University.

$200M Pricing Leakage Addressed
7+ Years in Industry
<200ms Real-time Pricing
99.9% System Uptime

Professional Experience

Senior Software Engineer

QXO

RevX - Pricing

Seattle, WA Feb 2026 - Present Current
  • Designed and authored the CPQ (Configure, Price, Quote) High-Level Architecture, a hybrid offline/online system integrating 7 core pricing analysis modules to address the $200M pricing leakage problem
  • Architected a real-time pricing intelligence engine achieving sub-200ms response times with a 3-tier caching strategy (in-memory, Redis, database) and >90% cache hit ratio
  • Engineered Composite Scoring Algorithm combining corridor compliance, customer segmentation (RFM), margin protection (COGS), basket optimization, and demand signals into actionable pricing recommendations
  • Built offline batch analytics pipeline for Pricing Dispersion, Price-Volume-Mix (PVM), Growth KPI / Demand Momentum, and Price Sensitivity modules, processing heavy statistical workloads within a 4-hour daily window
  • Developed real-time margin protection system (Price over COGS Analysis) preventing below-cost quoting with automated compliance guardrails and approval escalation workflows
  • Designed Mixed Margin & Substitution Analysis module to identify lower-COGS product alternatives, maximizing internal margins while preserving or improving customer pricing
  • Established A/B experimentation framework at customer level to measure EBITDA impact of AI-driven pricing recommendations against manual baseline, enabling data-driven feature rollout
  • Empowering branch managers to reduce quote generation time significantly, enabling greater focus on sales relationships and revenue growth

Software Engineer

Google

Cloud Billing Product Lifecycle Control Plane & Pricing Primitives

Seattle, WA Jan 2022 - Feb 2026
  • Designed, developed and launched Metering Transforms RulesManagementService using Cloud Control Front End (CCFE), successfully serving 1000 QPS reliably
  • Engineered the SkuGroup multi-tenancy feature to securely accommodate reseller margins for marketplace operations
  • Constructed Pre-computation framework, increasing scalability by 10x and reducing latency by over 2x
  • Overhauled the Pre-computation pipeline using distribution and batching to complete runs for all resources four times daily
  • Spearheaded a new Online Computation API using batching and asynchronous parallelism, reducing runtime by 50% for big data models
  • Orchestrated the Logic Variant framework to bundle and validate multiple experiments within the precomputation pipeline
  • Successfully transitioned business-critical SkuGroupService ownership, mitigating 5000 QPS load with strategic caching
  • Engineered automated diff scripts with Flume Java for release verification, reducing oncall pages by 30%

Software Developer

Epic

EpicCare Ambulatory - Encounter & Infrastructure Workgroup

Verona, WI Sep 2019 - Dec 2021
  • Developed the No Show List activity, enabling physicians across 250 healthcare organizations to manage no-showed encounters, garnering positive feedback from over 70% of physicians
  • Contributed to the Clinical Workspace activity, achieving workflow simplification and reducing user time spent by 20%
  • Conducted quarterly on-site training sessions for physicians and nurses, helping them achieve workflows 30% faster

Software Engineering Intern

Fantom

Blockchain Platform

Seoul, South Korea Jul 2018 - Aug 2018
  • Designed the prediction model of the ecosystem within the blockchain platform
  • Acquired expertise in implementing coin mining algorithms and researching Decentralized Applications (DApps)

Software Engineering Intern

PwC Korea

Assurance Department

Seoul, South Korea Jun 2017 - Aug 2017
  • Utilized Python for Data Analysis projects within the Assurance Department across multiple companies
  • Received an award for the best intern for excellent performance as a lead

Engineering Projects

AI-Powered CPQ Platform

QXO - RevX Pricing

Designed and architected a hybrid offline/online pricing intelligence system integrating 7 core analysis modules, addressing $200M in pricing leakage with sub-200ms real-time quote scoring and ML-driven margin optimization.

MLOps TypeScript Python React PostgreSQL Redis Docker AI/ML GCP

Pre-computation Framework

Google Cloud Billing

Architected a scalable pre-computation system that increased scalability by 10x and reduced latency by over 2x, processing all resources with complete timeline four times daily.

Java Go Spanner Distributed Systems Shell Script Performance Analysis Plx Monitoring & Alerting GCP

Clinical Workspace

Epic Healthcare

Contributed to workflow simplification that reduced physician time spent by 20%, empowering efficient patient interaction management across 250 healthcare organizations.

C# React JavaScript TypeScript HTML CSS Healthcare MUMPS

Technical Skills

Languages

Java TypeScript Python Go C# JavaScript C C++ Bash MATLAB

Web & Frontend

React HTML CSS

Data & Infrastructure

SQL (Spanner) PostgreSQL Redis M (MUMPS)

Domains

AI/ML Integration Pricing Intelligence Cloud Billing Distributed Systems A/B Experimentation

Education

Purdue University

Bachelor of Science in Computer Engineering

West Lafayette, IN

Aug 2015 - May 2019

Relevant Coursework

Data Structures & Algorithms Embedded Software Networking PLD-based Microprocessor ARM Microcontrollers Digital Design ASIC Design Analog & Digital Circuit Analysis Signals & Systems Semiconductor Devices

Academic Achievements

Dean's List & Semester Honors - June 2016, June 2017, June 2018, June 2019

Get in Touch

I'm always open to discussing new opportunities and interesting projects.

cwparknj@gmail.com LinkedIn 201-925-9726