Juan – Python, React, Typescript

A multiple high-scale consumer platform services and internal engineering tools. The project involved building and maintaining user-facing features, backend services, observability solutions, internal productivity tools, and AI-powered capabilities. Work spanned frontend and backend development, API integrations, analytics, production operations, and improving the reliability and scalability of systems serving millions of users.

• Built and scaled Reddit’s real-time translation service using LLM APIs, expanding support from 12 to 32 languages while improving throughput and reliability;
• Contributed to the latest r/place launch, helping scale the experience to support multiple times the previous user load, larger canvases, more colors, higher notification volume, and improved moderation workflows;
• Improved observability across key services using Grafana, Prometheus, and notebooks, reducing incident response time and supporting a stronger culture of data-backed decision-making;
• Developed Reddit frontend experiences across post pages, comments pages, directories, and internal product surfaces;
• Built React-based internal tools that automated repetitive workflows such as announcements, image uploads, localization, and information sharing, significantly speeding up cross-functional operations;
• Supported Python-to-Go service migrations, including GraphQL layer improvements that reduced error rates by ~50% and increased throughput by ~10%;
• Helped maintain production systems, debug incidents, improve reliability, and unblock cross-functional product and engineering teams.

A large-scale digital automotive retail platform that enabled end-to-end online vehicle purchasing experiences. The project focused on customer-facing retail journeys, dealer and marketplace integrations, as well as backend CRM and order management systems, supporting modern automotive e-commerce workflows.

• Built flexible order workflow functionality that allowed deals to move backward and forward between stages instead of following a rigid linear flow, improving support for real-world dealership sales processes;
• Developed backend and CRM features in Python/Django to help dealers manage customer deals, order state, and operational workflows;
• Built frontend experiences for digital retailing and test drive scheduling flows used by major automotive brands.

Worked as a Software Engineer / Analyst at Bladex, supporting internal banking systems used to book and manage financial products such as derivatives, deposits, and operational workflows. Built backend automation and internal software using Python, PostgreSQL, Linux, Docker, and implemented CI/CD practices.

• Automated manual operational processes, improving consistency, removing bottlenecks, and eliminating repetitive work;
• Led a major engineering-process improvement effort by introducing Docker, GitLab, Jenkins, and CI/CD pipelines into the development workflow;
• Helped shift the team toward more modern software delivery practices, including version control, repeatable environments, automated builds, and safer deployments;
• Contributed to a MongoDB-to-SQL migration, helping move business-critical workflows into a more structured and compliant SQL-backed architecture;
• Worked closely with business and operations stakeholders to translate banking workflow requirements into maintainable software features.

Led the engineering and technical strategy for a sports intelligence platform designed to help athletes, coaches, and professional organizations leverage data to improve performance, conditioning, and recruitment decisions. The project focused on developing analytics solutions, athlete evaluation workflows, automated engagement processes, and performance reporting tools to support data-driven decision-making.

• Directed the overall engineering strategy and software development as CTO, delivering Python-based analytics solutions for athlete performance and conditioning;
• Designed and implemented automated data analysis pipelines using Python and pandas to transform athlete evaluations into actionable insights for coaches and teams;
• Developed statistical models and analytics tools for baseball to support pitch prediction and performance analysis;
• Researched and prototyped computer vision solutions for sports analytics and athlete movement assessment;
• Managed a cross-functional team across engineering, product, and operational initiatives;
• Collaborated with professional teams and athletes to drive the adoption of data-driven approaches to conditioning and performance optimization.

A location-based AR mobile card game that combined real-world exploration, geospatial gameplay, collectible cards, and player battles. Contributed to the Unity client and supported server-side and gameplay features.

• Developed Unity features for a location-based mobile game combining AR-style exploration with collectible card mechanics;
• Worked on gameplay systems connected to geospatial data, real-world locations, card discovery, and player progression;
• Led a small international team of developers, coordinating implementation work across gameplay and backend-facing features;
• Helped translate product requirements into playable Unity features and improved the overall mobile game experience;
• Collaborated across disciplines to support iteration on game mechanics, user flows, and technical implementation.