MICHAEL GONZALES

Delivered three enterprise client engagements at Cognizant: AI-powered property data orchestration for Cotality (formerly CoreLogic), a retail operations platform for global enterprise chains, and a checkout-free campus retail system for the Canberra Institute of Technology.

Tech Stack: React.js, TypeScript, Redux, Tailwind CSS, Node.js, Express.js, Python, FastAPI, LangChain, RAG, OpenAI GPT-4, Atlas Vector Search, ServiceNow Now Platform, Now Assist (Gen AI), AWS Lambda, S3, API Gateway, Terraform, Docker, Kubernetes, Kafka, PostgreSQL, MongoDB Atlas, Redis, CI/CD, Git, RBAC, IAM, Zero-Trust Architecture

Cognizant® Stores 360 | Retail Enterprise Operations Platform

• Built the store-associate task management UI and API layer for Stores 360 using React, TypeScript, and Redux on the frontend and a Node.js Express service layer integrating with ServiceNow APIs on the backend, enabling daily store-operations task routing across enterprise retail clients.

• Developed the middleware integration between Cognizant Neuro AI and ServiceNow Now Assist using Node.js and PostgreSQL to deliver real-time store location scoring using demographic and competitive signals for retail expansion planning teams.

• Implemented an IoT event listener and automated remediation service using Node.js, AWS Lambda, and Kafka that processed device fault signals and triggered auto-resolution workflows, eliminating unplanned field technician dispatches across pilot deployments.

Neuro BP | AI-Powered Process Transformation

• Designed and built the data ingestion layer for Cotality's Neuro BP platform using Node.js, TypeScript, and MongoDB Atlas,delivering ETL services that pulled property records from 12+ fragmented county and state agency sources into a single normalized pipeline and eliminating manual data reconciliation across integrated sources.

• Built an intelligent case-routing engine from scratch as a FastAPI microservice using OpenAI GPT-4 with LangChain and RAG-based retrieval via Atlas Vector Search to auto-classify and route incoming property data cases, replacing manual triage across 24+ client deployments.

• Owned the deployment pipeline for a phased rollout across 24+ Cotality client environments by writing Terraform and Kubernetes deployment artifacts and implementing AWS CloudWatch health-check monitoring that caught critical regressions before they reached production users.

Amazon Just Walk Out - Checkout-Free Retail Integration | Canberra Institute of Technology Student Association (CITSA)

• Built an AWS Lambda integration layer connecting Amazon Just Walk Out sensor-fusion output to CITSA's existing POS system, translating item-detection events to the legacy inventory schema via Node.js event handlers without requiring a full POS replacement.

• Developed a real-time receipt generation pipeline that consumed Just Walk Out sensor streams through a Kafka-driven AWS Lambda architecture and produced itemized digital receipts delivered to students within seconds of exiting the store.

• Delivered the end-to-end checkout-free experience for CITSA's campus store using React and TypeScript on the frontend and PostgreSQL-backed Node.js services on the backend, replacing traditional self-checkout kiosks with an AI-powered, sensor-driven purchase flow that eliminated manual scanning from the daily student retail experience.

Built full-stack features across three flagship GoDaddy product lines (GoCentral website builder, Online Store eCommerce platform, and Websites + Marketing automation suite) that collectively serve 1M+ SMB merchants across the U.S. and internationally.

Tech Stack: React, Next.js, TypeScript, Node.js, PHP, GraphQL, REST APIs, PostgreSQL, MySQL, Redis, Kafka, AWS, AWS SES, Docker, Kubernetes, CI/CD, Jest, Cypress

GoDaddy Online Store (eCommerce Platform)

• Built the one-page checkout flow for GoDaddy Online Store using React and Node.js, unifying GoDaddy Payments, multi-carrier shipping APIs (UPS, FedEx, USPS), and real-time PostgreSQL-backed tax calculation into a single purchase experience that measurably improved checkout completion rates.

• Developed an inventory sync and low-stock alerting system by implementing a Kafka consumer in Node.js that processed stock-level events in real time and triggered automated merchant notifications via Redis-backed queuing, eliminating oversell incidents for merchants running large product catalogs.

• Implemented multi-currency checkout and automated international tax compliance by building Node.js currency-conversion middleware and an AWS Lambda tax-jurisdiction resolver that enabled SMB merchants to sell globally without manual compliance configuration.

GoCentral Website Builder (SMB Storefront Platform)

• Built mobile-responsive rendering components for GoDaddy's GoCentral drag-and-drop website builder using React and TypeScript, implementing breakpoint logic and a Node.js layout engine that enabled non-technical business owners to build and publish a complete website in under an hour.

• Developed GoCentral's real-time site preview engine implementing a WebSocket synchronization layer in Node.js backed by Redis that reflected edits instantly across desktop and mobile view ports, reducing preview refresh latency and becoming a key differentiator in GoDaddy's SMB onboarding experience.

GoDaddy Websites + Marketing Platform│ Integrated SEO & Email Marketing Platform

• Built an automated SEO and email campaign using Node.js, the Google Search Console API, and AWS SES, generating meta tags and XML sitemaps while delivering high-volume campaign emails each month through Kafka-backed queuing for active SMB merchant accounts.

Contributed to Stripe’s core Payments API and Connect marketplace platform as part of the engineering teams responsible for global transaction processing and marketplace payment routing.

Tech Stack: Ruby, Java, Python, Ruby on Rails, PostgreSQL, Redis, Kafka, AWS, AWS SQS, PCI-DSS, OAuth 2.0, RSpec, Pytest

Stripe Payments API (Core Global Payments Infrastructure)

• Extended Payments API charge-creation endpoints in Ruby on Rails by adding multi-currency parameter support and implementing PostgreSQL-backed routing logic that improved international charge acceptance rates for affected currency pairs during a phased rollout.

• Strengthened PCI-DSS compliance for Stripe.js tokenization by implementing Ruby on Rails validation that ensured card data never reached merchant servers, reducing merchant compliance scope from SAQ D (~300 controls) to SAQ A (~22 controls) and making Stripe integrations significantly easier to certify.

Stripe Connect (Marketplace Payments Platform)

• Built configurable charge-split logic within Stripe Connect using Ruby on Rails and Kafka-backed PostgreSQL routing rules that enabled platforms to define custom fee structures across platform fees, seller payouts, and application fees for marketplace use cases at scale.

• Contributed to the Instant Payouts pipeline by building a Ruby and Java settlement-status tracking service with Redis-backed state management and strong integration test coverage for the real-time debit-network payout flow, significantly accelerating settlement times and supporting large marketplace customers such as Lyft, DoorDash, and Shopify.

• Improved Connect's cross-border payout routing by implementing Ruby on Rails currency-conversion fallback handlers and AWS-backed bank-transfer retry logic that reduced international payout failure rates across affected corridors for marketplace clients including Airbnb

Joined nCino as a founding-era Software developer and contributed to the core engineering team that built the nCino Bank Operating System natively on the Salesforce Platform.

• Built automated loan-approval workflow stages in the nCino Loan Origination System using Salesforce Apex triggers and Salesforce Flow automations that replaced paper-based review steps and reduced commercial loan processing time for early pilot bank clients.

• Developed custom Salesforce object models and Apex trigger logic with SOQL-backed multi-tenant data isolation, contributing to the architecture that enabled nCino to onboard multiple bank clients on a shared Salesforce org without data leakage risk and supporting the platform's SaaS scalability.