Engineering Performance at Scale
From high-throughput Java microservices on Kubernetes to CUDA-accelerated simulations and machine learning pipelines, I work across the full depth of the stack. My focus is on systems where performance is a constraint, not an afterthought — whether that's designing event-driven architectures with Kafka, optimizing GPU kernels for real-time image processing, or building data acquisition hardware from the PCB up.
Core Competencies
Distributed Systems
Architecting high-load Java/Spring Boot microservices with Kafka for event-driven resilience.
Full-Stack Integration
Seamlessly connecting high-performance unmanaged backends with modern React and .NET ecosystems.
High-Performance Computing
Optimizing throughput with CUDA kernels and C++ backend systems.
Simulation & Modeling
Numerical solutions for complex physical and chemical phenomena.
Data Intelligence & ML
Leveraging applied Machine Learning and data analysis to turn complex datasets into actionable business intelligence.
Embedded & IoT Solutions
Bridging the gap between software and hardware with robust embedded logic and IoT connectivity.