Gael Eduardo Pérez Gómez

B.S. in Computer Technologies Engineering

Minor in Advanced Artificial Intelligence for Data Science

Leadership Diploma

Programming Technician

• ▸Architected and built from scratch a multi-tenant SaaS iPaaS connecting banks, hospitals and telcos to Mexico's national identity platform (PUI/RENAPO/SEGOB) for LGMDFP regulatory compliance; Zero-Knowledge design — stores only SHA-256(CURP+RFC) hashes, never personal data.
• ▸Built 8 Go microservices on ECS Fargate: webhook receiver, SQS orchestrator (3-phase PUI flow), RENAPO callback handler, batch CSV processor, multi-tenant auth, and exponential-retry notifier; shared pkg/ library with AES-256-GCM, KMS client and secure memory wipe.
• ▸3 Next.js 16 frontends on AWS Amplify (marketing, institutional portal, internal admin); full Terraform infrastructure; SAST/DAST pipeline (Semgrep, Snyk, gosec, OWASP ZAP) in GitHub Actions.

• ▸Designed and implemented key microservice components for the cloud migration of a legacy Oracle-based system to AWS, applying Hexagonal Architecture to improve scalability, maintainability, and domain isolation.
• ▸Implemented AWS Lambda functions for critical business flows, including authentication, login, and password recovery.
• ▸Designed and integrated Amazon SQS for asynchronous, event-driven communication between services.
• ▸Implemented Amazon SES for transactional and notification email delivery.
• ▸Defined and documented service contracts, architecture decisions, and system workflows during the migration process.
• ▸Supported the lead architect in planning, documentation, and auditing of services to ensure a controlled and low-risk migration.
• ▸Implemented AI Development Agents using Kiro, reducing overall migration time by approximately 60% while improving code consistency and delivery speed.
• ▸Collaborated closely with business and engineering teams to define modernization strategies and reduce technical debt.

• ▸Delivered end-to-end consulting projects, from requirements gathering to production deployment, ensuring business and technical alignment.
• ▸Designed scalable architectures integrating web, mobile, and hardware components, reducing infrastructure costs by ~25% for SME clients.
• ▸Automated workflows with ETL pipelines and Python scripts, increasing data accuracy by >95% and saving 20+ hours per month.
• ▸Built and deployed custom web platforms on AWS and Docker, reducing time-to-market by 30%; integrated third-party APIs (Twilio WhatsApp Business, payment gateways, S3).

• ▸Modernized legacy Java systems into AWS Lambda microservices, reducing maintenance costs by 30% and improving scalability.
• ▸Migrated Angular/Java MVC apps to React and TypeScript, cutting UI bug reports by 40%.
• ▸Streamlined CI/CD pipelines with CircleCI and Jenkins, reducing deployment time by 50%.
• ▸Implemented Swagger/OpenAPI for API documentation, reducing developer onboarding time.
• ▸Enhanced testing with Jest, Pytest, Mocha, Selenium, decreasing production bugs by 25%.

• ▸Designed and optimized data pipelines on AWS using Pandas and NumPy, automating the cleaning and transformation of large-scale geographic datasets.
• ▸Developed predictive models and trend analysis using TensorFlow, enhancing data-driven decision-making capabilities.
• ▸Built robust APIs with Django, Flask, and Node.js for data service consumption, documented with Swagger to streamline internal integration.
• ▸Implemented CI/CD workflows using Jenkins and Docker for data service deployment, reducing delivery times and environment drift.
• ▸Automated testing with Pytest and Postman, ensuring data API reliability and optimizing debugging efficiency.
• ▸Visualized geospatial data by creating interactive dashboards, transforming complex datasets into actionable insights.

• ▸Migrated monolithic systems to microservices (Python, Java, Node.js), enabling independent scaling of features.
• ▸Automated deployments with Jenkins and CircleCI, reducing release times by 50%.
• ▸Containerized apps with Docker, reducing deployment errors by 35%.
• ▸Improved API performance with PostgreSQL and MongoDB, reducing query times by 30%.
• ▸Enhanced UI responsiveness with React and TypeScript, increasing user satisfaction by 25%.

• ▸Sole developer responsible for building and scaling the company CRM and client acquisition platform.
• ▸Designed and deployed a microservices-based CRM (Python, Node.js, Java).
• ▸Containerized applications with Docker and deployed on AWS EC2 and S3, ensuring high availability.
• ▸Created REST APIs documented with Swagger, improving integration speed.
• ▸Built landing page and onboarding flow with React and Flask, increasing client acquisition.
• ▸Implemented automated testing with Pytest and Unittest, reducing bugs by 30%.