Researching and developing practical FPGA-based embedded neural networks for advanced applications.
Custom Python-driven platforms interfacing with lab equipment for both hardware and software simulation.
Building APIs and reporting systems that unify metrics from multiple sources like Jira, Bitbucket, and internal databases.
Streamlining processes across industries to reduce complexity and accelerate results for any engineering task.
Designing and deploying secure, scalable cloud-native applications that integrate seamlessly with on-premise and hybrid infrastructures.
Applying EVMS to track cost, schedule, and performance, ensuring transparency and compliance on government programs.