Senior Software Engineer

MARIO RAMIREZ

Senior Software Engineer React • Python • AI • Geospatial Visualization

*****************@*****.*** +1-774-***-**** Phoenix, AZ USA github.com/it-mario linkedin.com/in/mario-ramirez-916289422

Professional Summary

Senior Software Engineer with 10+ years of experience designing and delivering enterprise web applications, AI- powered products, and interactive analytics platforms. Specialized in building scalable React and Next.js applications, Python backend services, and cloud-native AWS solutions that process large-scale datasets with high performance and reliability.

Deep expertise in developing data-intensive user experiences including geospatial visualization, configurable dashboards, real-time analytics, and AI-assisted workflows using OpenAI LLMs and Retrieval-Augmented Generation (RAG). Experienced architecting full-stack systems from frontend applications through distributed backend services, cloud infrastructure, and AI pipelines while collaborating across product, design, data science, and platform engineering teams.

Professional Experience

Senior Software Engineer, Restb.ai

Project: AI-Powered Property Intelligence & Enterprise Analytics Platform

•Architected a modular analytics platform using React, Next.js, TypeScript, and TanStack Query, enabling enterprise customers to explore 20M+ property records through configurable dashboards, synchronized filters, and drill-down workflows. 01/2023 – Present

Remote, US

•Designed and implemented Retrieval-Augmented Generation (RAG) services using Python, FastAPI, OpenAI APIs, PostgreSQL, and pgvector, improving grounded AI response accuracy by approximately 35% during internal evaluation while supporting natural-language search over structured property metadata.

•Developed high-performance geospatial visualization components with Mapbox GL, Deck.gl, and vector tiles, enabling smooth interaction with 20M+ geospatial features through viewport-based loading and progressive rendering.

•Built distributed document and image processing pipelines using AWS Lambda, SQS, and S3, processing 500K+ property images and documents daily while reducing manual review effort by approximately 70%.

•Implemented streaming AI responses using Server-Sent Events (SSE), reducing perceived response latency from 6 seconds to under 2 seconds and delivering a conversational search experience for enterprise users.

•Optimized frontend performance through code splitting, virtualization, memoization, and incremental data loading, reducing initial page load times by over 40% while maintaining responsive interactions with large analytical datasets.

•Established reusable visualization libraries for maps, charts, and AI components, reducing new feature development time by approximately 30% across multiple engineering teams.

•Built CI/CD pipelines using GitHub Actions, Docker, and AWS ECS, reducing deployment time by over 60% while enabling automated testing, infrastructure validation, and zero-downtime releases.

•Partnered closely with product managers, computer vision engineers, and data scientists to translate AI capabilities into intuitive customer-facing workflows adopted across multiple enterprise products.

•Mentored frontend engineers on React architecture, API design, performance optimization, and modern AI application patterns while promoting engineering best practices.

Senior Software Engineer, Planet Labs

Project: Global Geospatial Analytics & Satellite Intelligence Platform

•Led development of interactive geospatial applications using React, TypeScript, Mapbox GL, Deck.gl, and WebGL, enabling customers to analyze multi-petabyte satellite imagery through high-performance visualization and spatial analytics. 06/2020 – 01/2023

Remote, US

•Designed scalable backend services with Python, FastAPI, and PostGIS supporting millions of spatial queries per month for polygon analysis, raster metadata processing, and geospatial APIs.

•Built viewport-aware tile loading, client-side caching, and rendering optimizations that reduced map rendering time by approximately 45% while improving responsiveness across large imagery datasets.

•Developed configurable analytics dashboards combining satellite imagery, temporal observations, and geospatial overlays to support environmental monitoring and operational decision-making.

•Implemented distributed AWS processing pipelines using AWS Batch, Lambda, and S3, processing tens of terabytes of imagery daily while improving ingestion throughput by over 40%.

•Improved platform reliability by optimizing PostGIS indexing, SQL execution plans, CloudWatch monitoring, and distributed tracing, reducing average query latency by 35% and accelerating production troubleshooting by nearly 50%. Software Engineer, Carvana

Project: Vehicle Marketplace & Logistics Platform

•Developed customer-facing applications using React, TypeScript, and Node.js supporting vehicle discovery, financing, pricing insights, and inventory management for millions of monthly visitors.

07/2017 – 06/2020

Tempe, AZ

•Built internal logistics dashboards with interactive maps and real-time operational metrics, providing visibility into 100K+ vehicle movements annually across transportation and fulfillment operations.

•Designed Python microservices for inventory synchronization, pricing automation, and operational reporting, improving data consistency across distributed systems.

•Implemented Elasticsearch-powered search with advanced filtering across 500K+ vehicle listings, reducing average search response time by approximately 40%.

•Optimized PostgreSQL queries, Redis caching, and asynchronous API workflows, reducing backend response latency by nearly 50% during peak customer traffic.

•Automated AWS deployments using Docker and CI/CD pipelines, improving release reliability while collaborating with product, UX, and operations teams to deliver customer-facing features.

Software Engineer, GoDaddy

Project: Customer Management & Website Analytics Platform

•Developed responsive customer portals using React, JavaScript, and modern CSS, enabling millions of customers to manage domains, hosting services, and website configurations through a unified experience.

06/2015 – 07/2017

Tempe, AZ

•Built reusable frontend component libraries adopted across 5+ engineering teams, reducing duplicated UI development effort by approximately 30%.

•Developed interactive reporting dashboards processing millions of website analytics events, providing customers with real-time visibility into website traffic and hosting utilization.

•Integrated REST APIs supporting account management, DNS configuration, billing history, and service provisioning workflows.

•Improved frontend performance through lazy loading, bundle optimization, and caching strategies, reducing page load times by approximately 50% while improving overall application responsiveness.

•Expanded automated testing with Jest and React Testing Library, reducing production regressions and improving release quality across frequent deployments.

•Participated in Agile planning, architecture discussions, and code reviews while contributing to frontend engineering standards and engineering best practices. Education

Bachelor's Degree in Computer Science, University of Toronto 2010 – 2014 Toronto, ON, CA

Technical Skills

Languages

TypeScript, JavaScript (ES6+), Python, SQL

Backend

Python, FastAPI, Django, Flask, Node.js, Express.js, REST APIs, GraphQL, WebSockets, Server-Sent Events

(SSE), Microservices

Cloud & DevOps

Amazon Web Services (AWS), EC2, ECS, Lambda, API

Gateway, S3, CloudFront, RDS, CloudWatch, IAM,

Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Data Visualization & Geospatial

Interactive Dashboards, Geospatial Visualization, GIS, Mapbox, Deck.gl, Vector Tiles, Spatial Analytics, Time-Series Visualization, Data Modeling

Development Tools

Git, GitHub, GitHub Actions, VS Code, Postman,

Swagger/OpenAPI, npm, pnpm, Vite, Webpack

Frontend

React, Next.js, TypeScript, Redux Toolkit, Zustand, TanStack Query, React Hook Form, Material UI,

Tailwind CSS, AG Grid, D3.js, Chart.js, Mapbox GL JS, Deck.gl, WebGL

AI & Machine Learning

OpenAI API, GPT-4, LLM Applications, Retrieval-

Augmented Generation (RAG), Vector Search, Prompt

Engineering, AI Agents, LangChain, Semantic Search, Embeddings, AI Chat Applications

Databases & Search

PostgreSQL, PostGIS, Redis, Elasticsearch, pgvector, MySQL

Testing & Quality

Jest, React Testing Library, Cypress, PyTest,

Playwright, Unit Testing, Integration Testing, End-to- End Testing

Architecture & Engineering

Distributed Systems, System Design, Event-Driven

Architecture, Performance Optimization, Caching,

Asynchronous Processing, API Design, Responsive

Web Applications, Software Architecture

Certification

JavaScript Specialist

Certification

Web Development with Python

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