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

01

Distributed Systems

Architecting high-load Java/Spring Boot microservices with Kafka for event-driven resilience.

02

Full-Stack Integration

Seamlessly connecting high-performance unmanaged backends with modern React and .NET ecosystems.

03

High-Performance Computing

Optimizing throughput with CUDA kernels and C++ backend systems.

04

Simulation & Modeling

Numerical solutions for complex physical and chemical phenomena.

05

Data Intelligence & ML

Leveraging applied Machine Learning and data analysis to turn complex datasets into actionable business intelligence.

06

Embedded & IoT Solutions

Bridging the gap between software and hardware with robust embedded logic and IoT connectivity.