Luis – Python, React, AWS

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.

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.