Luis – Python, React, AWS

E-commerce platform where customers order beverages for delivery or in-store pickup.

• Developed and maintained the e-commerce storefront using React, TypeScript, and Next.js — product browsing, filtering, search results, and detailed product pages serving millions of monthly visitors;
• Built the shopping cart and checkout flow with real-time inventory checks against 270+ store locations, dynamic delivery/pickup slot scheduling, and state-specific alcohol shipping compliance rules;
• Implemented age verification and regulatory compliance gates integrated into the checkout pipeline, ensuring legal requirements were met for every order based on shipping destination and product type;
• Designed and consumed RESTful APIs with Node.js and Python that coordinated between the storefront, inventory management system, payment processor, and fulfillment services;
• Developed the store availability engine that calculated real-time product availability by ZIP code, factoring in local store inventory, delivery radius, and state shipping eligibility — powered by PostgreSQL and Microsoft SQL Server;
• Built the order confirmation and post-purchase experience: email notifications with order details, delivery tracking integration, and estimated arrival updates via AWS Lambda event-driven workflows;
• Created internal dashboards for the operations team to monitor order volume, fulfillment status, failed deliveries, and compliance flag rates across all regions;
• Wrote end-to-end test suites with Playwright and Selenium covering the full purchase journey — search to delivery confirmation — including edge cases for restricted states and age-gated products, achieving 90%+ coverage of critical checkout paths;
• Optimized database queries and API response times for the product catalog and inventory lookup services, reducing average page load time by 35% during high-traffic promotional events;
• Collaborated with product, legal, and operations teams to translate complex state-by-state alcohol regulations into configurable business rules within the platform.

It's full-stack solutions for enterprise clients, including a broadcast television network and a healthcare company.

• Built and maintained reusable React components and UI flows for client-facing dashboards;
• Designed and integrated RESTful API services using Python and Node.js;
• Improved data flow between front-end and back-end services for high-volume enterprise apps;
• Implemented GitHub Actions and Docker-based CI/CD pipelines to accelerate deployment;
• Collaborated with product, QA, and infra teams to shape architecture and ensure performance at scale;
• Optimized key user journeys, contributing to reduced load times and improved stability.

It's an internal live tutoring platform that handles real-time scheduling, performance tracking, and reporting for thousands of students worldwide.

• Developed responsive React components for live dashboards and instructor management tools.
• Designed and implemented Python (FastAPI) back-end services for scheduling, data retrieval, and real-time updates.
• Built ETL pipelines to collect and process session engagement data, storing results in PostgreSQL and AWS.
• Integrated role-based access control and established clean API contracts between front-end and back-end.
• Automated deployment and testing pipelines with Docker and GitHub Actions for faster iteration.
• Collaborated with product and data teams to ensure platform scalability and low-latency performance during live sessions.

Is a subsidiary of Harvard University that delivers world-class management content and online learning experiences to corporate clients and academic institutions worldwide

• Built and maintained core features of the online learning platform using React and TypeScript on the frontend with Node.js and Python microservices on the backend.
• Developed the course player experience — video delivery, progress tracking, bookmarking, and adaptive content navigation that handled concurrent access from thousands of enterprise learners.
• Implemented the assessment and quiz engine with real-time scoring, timed evaluations, configurable question banks, and automated certificate generation upon course completion.
• Designed RESTful APIs for enterprise client integrations, enabling seamless SSO authentication, learner enrollment syncing, and progress reporting with external LMS platforms via SCORM and xAPI standards.
• Built the enterprise admin dashboard where client organizations managed user groups, assigned learning paths, tracked completion metrics, and exported compliance reports.
• Optimized PostgreSQL queries powering the analytics and reporting layer — learner engagement metrics, course completion rates, and cohort performance comparisons — reducing report generation time by 60%.
• Developed serverless content processing pipelines with AWS Lambda for video transcoding, thumbnail generation, and content indexing to support the growing course catalog.
• Implemented responsive, accessible UI components following WCAG 2.1 standards, ensuring the platform met the accessibility requirements of Fortune 500 enterprise clients.
• Collaborated directly with product managers and content teams at Harvard Business Publishing to scope features, refine UX, and prioritize the product roadmap across quarterly release cycles.
• Automated testing and deployment workflows with GitHub Actions and Docker, achieving reliable CI/CD with staged rollouts to production.

The projects involved full-stack development and automation initiatives for global clients, including a multinational e-commerce company and a leading magazine and platform focused on business management and leadership insights.

• Developed and maintained the end-to-end checkout pipeline: cart management, shipping selection, payment processing, order review, and confirmation — serving millions of daily transactions.
• Built dynamic cart components in React and TypeScript that handled real-time price calculations, tax estimation, promotional code application, and multi-seller cart splitting.
• Implemented server-side checkout orchestration with Node.js and .NET microservices, coordinating inventory reservation, payment authorization, and order creation across distributed services.
• Integrated third-party payment gateway APIs and built secure tokenized payment flows, ensuring PCI-DSS compliance across credit card, PayPal, and alternative payment methods.
• Designed and optimized PostgreSQL and Microsoft SQL Server queries for order persistence, transaction logging, and checkout analytics, reducing average query latency by 40% on high-traffic order tables.
• Built the post-purchase confirmation pipeline: order status updates, email confirmation triggers via AWS Lambda, and real-time order tracking webhooks.
• Wrote comprehensive end-to-end test suites with Playwright and Selenium covering the full checkout journey — cart to confirmation email — achieving 95% coverage of critical purchase paths.
• Enhanced CI/CD pipelines with GitHub Actions and Docker Compose, enabling isolated checkout service testing and zero-downtime deployments.

It's a large-scale data platform used to process and validate critical business information for enterprise clients.

• Designed and built core TMS modules for route optimization, dispatch scheduling, and shipment tracking using Python (Django REST, Flask) on the backend and React with TypeScript on the frontend.
• Integrated Google Maps API for real-time route calculation, geolocation-based driver assignment, distance estimation, and ETA computation across multi-stop delivery routes.
• Built and maintained RESTful APIs that connected the TMS with internal ERP and WMS platforms, enabling automated order ingestion, status synchronization, and invoicing workflows.
• Developed real-time shipment tracking features with WebSocket-based status updates, giving dispatchers and clients live visibility into vehicle transport progress.
• Designed and optimized Microsoft SQL Server and PostgreSQL schemas for transport orders, fleet data, route history, and driver assignments — reducing dispatch query response time by 50% through indexing and stored procedure optimization.
• Built driver and fleet management dashboards in React, displaying live route maps, delivery status, vehicle utilization metrics, and performance KPIs for operations teams.
• Implemented serverless event-driven workflows with AWS Lambda for automated notifications — dispatch confirmations, delivery ETAs, and exception alerts pushed to clients and internal stakeholders.
• Worked directly with logistics operations teams and clients to translate complex routing and scheduling requirements into technical solutions, iterating through multiple product phases.
• Automated CI/CD pipelines with Jenkins and Docker, enabling reliable deployments and isolated testing of transport service modules.
• Mentored two junior developers on API design patterns, database optimization, and logistics domain knowledge.