Leonardo Mejillones

Engineered a reverse engineering platform for semiconductor analysis, modernized a legacy C++/MFC application, and architected database migration strategies. Developed Python microservices and RESTful APIs on AWS with Docker.

Developed microservices in Java/Kotlin for a B2B nutritional platform, designed a centralized logging module, and refactored legacy code with SOLID principles. Extended Elasticsearch search and Terraform configurations.

Transitioned to C#/.NET to build Azure Functions and Power Apps for a real estate platform. Refactored microservices with SOLID and Clean Code, and contributed Angular frontend fixes.

Engineered OS-level automation agents in Java, automated workflows for 500+ users, and deployed 50+ bots with 99.9% uptime. Developed backend microservices for configuration and scheduling.

Developed microservices with Java and Vert.x for a content aggregation platform, achieving 40% throughput improvement and 35% latency reduction. Refactored notification system and integrated Node.js services.

Designed features for a payment gateway, implemented state machines, and led Kafka-based inter-service communication. Implemented Redis caching and trained 25 engineers on design patterns.

Developed modules for an EMR platform and led security hardening, including CSRF protection and SQL injection remediation. Implemented password validation with real-time feedback.

Engineered high-performance market data feed processors in C/C++ and designed a custom symbol-grouping algorithm. Reduced latency and developed a Black Box server daemon for ARM7 with TCP/UDP/SCTP.

Doctoral research in Science & Technology with focus on AI applications in healthcare, currently in progress.

Master in Software Engineering from the Autonomous University of Beni, completed in 2020.

Bachelor in Computer Science from the Catholic University of Bolivia, completed in 2002.