Cody Pinto

About Cody Pinto

Technical leader and full-stack engineer with 8+ years at Intel architecting cloud-native, AI-powered supply-chain, warranty-returns, and compliance platforms that have delivered >$1 B in cost savings and new revenue since 2019 and drive >$100 M in annual warranty-related savings. Combines an MBA in Supply Chain Management and an M.S. in Business Analytics with deep expertise in Node.js.NET Core, React, Azure, WebAssembly, and Computer Vision to build resilient, high throughput systems, mentor cross-functional teams, and translate complex data into actionable business value. Recent consulting work for Guide-X accelerated cloud migrations and exits for healthcare clients.CORE COMPETENCIES• Cloud & DevOps: Azure VNet / subnet architecture, Linux & Windows VMs, Apigee, Docker, CI/CD, SSL automation, Dynatrace• Back-End: Node.js (multi-threaded, non-blocking), Express.NET Core REST APIs, Snowflake, SQL, NoSQL, ETL, Redis, R, Python• Front-End & Mobile: React, Redux, R Shiny, TypeScript, WebAssembly, Android (Java), HTML/CSS, UX collaboration, Jest, Playwright • Data & AI: YOLOX training & quantization, PyTorch, ONNX, ZXing-WASM, OpenCV, PaddlePaddle OCR, predictive modeling, forecasting, KPI dashboards• Leadership & PM: Agile/Scrum, cross-org stakeholder management, road-map & OKR planning, mentoring, cost-benefit analysisTECHINCAL STACKNode.js • Express •.NET Core • React • Redux • JavaScript • WebAssembly • Python • R • SQL • NoSQL • Snowflake • Jest • Playwright • Redis • Docker • Kubernetes • Azure • Apigee • Dynatrace • Git • CI/CD • PyTorch • Apache Airflow • YOLOX • OpenCV • ZXing-WASM • ONNX • PaddlePaddle OCR • Puppeteer • TensorFlow • Digital Ocean • Linux • Windows

Experience

1. Systems and Solutions Engineer

   Intel

   Jul 2017 — Present

   Developed warranty-returns services backend: authored high-volume Node.js & .NET Core pipeline that processes 10 K units per day and automates RMA validation—driving >$100 M cost avoidance each year, over $1B cumulative cost savings since 2019. • Architected Intel GES cloud landscape: designed Azure VNets, subnets, and firewalls to expose Apigee APIs securely to external partners; manage >20 Linux & Windows VMs and supporting storage, enabling 24 × 7 global availability. • Invented browser-native barcode & DataMatrix scanner: delivered a WASM-powered ZXing + YOLOX pipeline that decodes at 30 FPS with 99 %+ accuracy while running entirely offline at the edge. • Built high-performance data platform: created ETL pipeline that moves 100 K+ records/day from Snowflake to internal DBs, cutting query latency 85 % and accelerating analyst decision-making. • Deployed AI & computer-vision solutions: Integrated Paddle-OCR & PyTorch models to detect fraudulent returns with 98 %+ accuracy, fast-tracking a security project from 6 months to 2 weeks. • Developed predictive-returns algorithms and anomaly-detection dashboards, delivering $30 M savings and trimming analysis time by 3 months. • Led cross-functional Reverse Logistics Transformation program: directed 6+ developers & multi-org stakeholders to build the next-gen returns platform integrating Salesforce, ECA, Snowflake, and custom GES tools; managed weekly Agile ceremonies and executive readouts. • Enabled customer self-service: shipped PPIN-to-VISID conversion app (Docker + Cloud Foundry) with Azure B2C auth & Apigee integration—cutting turnaround from days to minutes for clients like Google, Apple, & Facebook. • Advanced forecasting & inventory optimization: created the wMAAPE metric and Java benchmarking tool, built ML‑driven predictive‑returns forecasts with temporal aggregation, and retooled safety‑stock planning—boosting forecast accuracy 7 %, cutting inventory and safety stock costs $1M+.

Education

• University of Notre Dame

  Bachelor of Business Administration (B.B.A.), Finance, General

  2009 — 2013

• W. P. Carey School of Business – Arizona State University

  Masters of Business Administration (MBA): Logistics, Materials, and Supply Chain Management, Masters of Science (MS): Business Analytics

  2015 — 2017

Skills

• Mobile Applications
• Fundamental Analysis
• Project Management
• Python
• Leadership
• Powerpoint
• Startups
• Microsoft Excel
• Docker
• Microsoft Visio
• Data Visualization
• Google Analytics
• Public Speaking
• Centos
• Sas E-Miner
• Google Adwords
• R
• Ubuntu
• Hadoop
• React.js
• Technical Analysis
• Machine Learning
• Stock Trading
• Rust
• Android Development
• Apache Spark
• Shiny
• Predictive Analytics
• Search Engine Optimization (SEO)
• Financial Modeling
• Mailchimp
• Sql
• Linux
• Data Mining
• Web Scraping
• Financial Analysis
• Java
• Microsoft Office
• Ggplot
• Apache Pig