Esteban – Ruby on Rails, React, PostgreSQL

This project involves a through-channel marketing automation (TCMA) platform designed to support distributed brands such as franchises, resellers, and affiliates. The platform centralizes brand assets and offers customizable templates, streamlined campaign approvals, budgeting tools, and backend services, including printing and logistics management. Its goal is to help organizations efficiently manage and scale their local marketing efforts across multiple partners.

• Contributed to the development and maintenance of a custom CRM and eCommerce platform used by affiliate partners in the print and marketing services industry;
• Refactored legacy codebases to improve performance, readability, and long-term maintainability;
• Increased test coverage across critical modules using RSpec, helping reduce regression in core flows;
• Enhanced authentication and authorization layers with Devise and Pundit, aligning with security and compliance standards;
• Supported admin interface improvements through Active Admin and optimized Mongoid queries for speed and efficiency;
• Collaborated with cross-functional teams in an Agile environment, participating in code reviews, sprint planning, and regular deployments.

This fintech solution modernizes the rental security process by replacing traditional cash deposits with affordable monthly insurance premiums. It provides landlords with protection against potential property damage or unpaid rent, while enabling renters to avoid large upfront costs. This approach increases rental accessibility and offers greater financial flexibility for both parties.

• Managed the migration from multiple Stripe accounts to a consolidated master account, identifying and resolving user issues throughout the process;
• Led the implementation of new features to introduce various user fees, developing a flexible system for incremental rollout across different U.S. regions;
• Redesigned the legal document acceptance workflow by refactoring the metaprogramming-based system to support state-specific documents reflecting varied regulations;
• Developed a centralized client API to synchronize user transactions with a partner platform, enabling seamless access to multiple partner APIs;
• Enhanced logging for critical processes, resulting in the creation of insightful dashboards in New Relic for improved monitoring and analysis;
• Improved user enrollment flows using React, optimizing the user experience and streamlining the process.

This cloud-native platform modernizes the commercial real estate appraisal process by automating complex property valuation calculations. It centralizes data management and facilitates seamless collaboration among teams, appraisers, lenders, and public-sector organizations, improving efficiency and accuracy in property assessments.

• Contributed to core features of a cloud-based platform used by appraisers and CRE firms to streamline valuations;
• Improved data models and workflows for generating property reports, reducing manual steps and increasing report consistency;
• Integrated external APIs for market and location data, enhancing the accuracy of appraisal inputs;
• Refactored legacy code and improved test coverage across key modules to support maintainability and reduce regressions.

This project involved developing an all-in-one legal practice management platform designed to help law firms streamline case workflows, client communication, billing, and document management. The cloud-based solution caters primarily to solo practitioners and mid-sized firms by centralizing essential tools into a secure and user-friendly interface. Key features include calendaring, secure client portals, online payment processing, and mobile access, all aimed at enhancing productivity and simplifying daily operations for legal professionals.

• Led Ruby and gem upgrade efforts across multiple repos, improving security and compatibility;
• Implemented a counter caching strategy on high-traffic tables to reduce query load and significantly improve performance;
• Proposed and delivered performance optimizations to the core Rails app, increasing responsiveness;
• Mentored junior developers on Rails best practices, architecture, and task ownership;
• Conducted technical interviews to support the company’s talent acquisition process.

This project is a plug-and-play, search and voice-driven AI-powered data platform that delivers business insights from natural language requests. Users can interact with the platform in plain English, either by typing or speaking, allowing them to ask straightforward questions and receive insights from their data within seconds.

• Planned and designed a full-featured user management system using React and AWS Amplify;
• Integrated authentication and authorization workflows with AWS Cognito;
• Built and deployed Lambda functions to support user-related operations;
• Configured API Gateway to enable secure, scalable API access;
• Delivered key features for the core analytics application;
• Integrated the analytics application seamlessly with the user management system.