I’m a backend systems researcher and founder of Codetec Inc. — passionate about building scalable, intelligent, and fault-tolerant backend architectures. My expertise spans microservice ecosystems, high-performance computing, and data-intensive systems using Python, FastAPI, GraphQL, and PostgreSQL.
Currently leading backend engineering at FlowRMS (U.S.), I focus on distributed microservices on Kubernetes, knowledge-driven AI integrations for enterprise platforms, and performance-optimized APIs for real-time analytics.
When I’m not engineering or researching, I’m usually training early in the morning, mentoring developers, or exploring new intersections between AI and backend systems.
Tech Stack
Languages
Frameworks & Tools
DevOps & Cloud
Experience
Nov 2022 – Present
Founder & CEO
Codetec Inc. - Panama
Building robust RESTful API infrastructures that power businesses across Panama and beyond. At Codetec, every endpoint is a promise of precision.
Dec 2023 – Present
Senior Python Developer
FlowRMS - Remote, U.S.
Architected distributed systems with FastAPI, GraphQL, and PostgreSQL. Engineered a knowledge library and AI bot for dynamic enterprise data interaction. Deployed scalable microservices on Kubernetes ensuring fault tolerance.
Nov 2019 – Dec 2023
Research Assistant
University of Missouri - United States
Backend engineer for RIDSI and P3DB, high-impact research platforms. Designed CUDA kernels inside PostgreSQL for high-speed analytics on irregular time series. Published multiple IEEE papers on data-intensive computing and GPU acceleration.
Education
GPA: 3.88/4.0
GPA: 3.98/4.0
Publications
- •GPU-Accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data — IEEE Big Data, 2023
- •HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-Series Health Sensor Data — IEEE EMBC, 2022
- •Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series — IEEE Big Data, 2022