Edge Computing Observability
ZEDEDA Industry Talk
Challenges of monitoring distributed applications at the edge—intermittent connectivity, resource constraints, and adaptive telemetry strategies.
Watch →Senior SRE at ZEDEDA
I build edge computing infrastructure and write about distributed systems. Previously worked on cloud platforms and HPC systems. MSc in Applied Mathematics.
ZEDEDA Industry Talk
Challenges of monitoring distributed applications at the edge—intermittent connectivity, resource constraints, and adaptive telemetry strategies.
Watch →Numerical Methods & Optimization
Specialized in computational algorithms, parallel processing, and mathematical modeling for complex systems.
ML-based Fault Diagnostics
Papers on machine learning applications for industrial system monitoring and predictive maintenance.
Publications →Technical Guide
Comprehensive guide to parallel programming covering advanced OpenMP techniques and optimization strategies.
Read →Tools I've built to scratch my own itch
The missing link for Apple Maps users. Migrates your Google Maps data so you don't have to manually copy-paste 500 restaurants. Features privacy-first local processing and deep integration with Apple's ecosystem.
Reverse-engineers Apple's proprietary Guide URL format. Because Apple won't document it, so someone had to.
View ProjectSenior SRE at ZEDEDA, building edge computing infrastructure.
My approach is simple: if you have to do it twice, automate it. With a background in Applied Mathematics, I bring analytical thinking to distributed systems—turning complexity into predictable platforms.
Outside work, I build tools that scratch my own itch. Most involve maps, because I kept needing features that didn't exist. The side projects listed above started as weekend experiments and grew from there.