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About

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Senior Systems & Data Engineer with a rigorous foundation in Applied Mathematics. Over seven years, I have architected high-performance data ecosystems and cloud-native infrastructure across GPU-accelerated clusters, distributed data lakes, and real-time medical data platforms.

osaka-skyline
Yokohama, Japan
stockholm-skyline
Strandvägen, Stockholm

Motto: Free markets, free people, free minds.

I specialize in mathematical system modeling, algorithmic latency optimization — specifically through vectorization, time-series decomposition, and high-performance computing (HPC) structures — and designing resilient distributed architectures. I deliver the highest impact in lean, collaborative engineering teams that prioritize deep technical focus, rigorous design documentation, and peer-to-peer growth.

Calgary, AB, Canada
MST/MDT (UTC-7/UTC-6)
hi@zeelex.mezeelexes

Engagement

Where I Can Be Useful

Engagement boundaries & alignment.

I partner with engineering teams and technical founders when systems require core architectural decisions or a complete reliability overhaul. I operate as an architect-partner to deliver high-impact infrastructure, not to clear routine tickets.

[ENGAGE]

I design scalable infrastructure foundations from scratch, optimize high-load pipelines through mathematical modeling, decouple monolithic architectures into distributed systems, and collaborate closely with founders to solve isolated, high-stakes technical bottlenecks.

[BYPASS]

I step aside from routine maintenance projects lacking modernization roadmaps, environments without clear engineering ownership, and organizations that prioritize rigid process bureaucracy over systemic engineering outcomes.

My Library

Designing Data-Intensive Applications
Core Influence

Designing Data-Intensive Applications

by Martin Kleppmann

The definitive guide on reliability, scalability, and structural integrity of data systems.

The Physics of the Future
Read

The Physics of the Future

by Michio Kaku

Exploring how physics will shape the world in the 21st century, from teleportation to space colonization. A mind-expanding journey through the potential of science.

Scale
Deskbook

Scale

by Geoffrey scale

Excellent overview of univeral laws, applies to everything from biology to technology.

How to Solve It
Deskbook

How to Solve It

by George Polya

A classic on problem solving and heuristics.

The Law
Read

The Law

by Frederic Bastiat

A profound exploration of the nature of law and government, arguing for limited government and individual liberty.

The Road to Serfdom
Read

The Road to Serfdom

by Friedrich Hayek

Featured Work

GE Vernova logo
case_studyGE Vernova
Wind Energy Infrastructure

Pipeline Acceleration and System Observability

Meteorological data analysis (SODAR, meteorological masts) was bottlenecked by critical inefficiencies in time-series processing pipelines. Concurrently, operational blind spots within GPU-accelerated Kubernetes clusters caused unacceptable delays in system failure localization.

approach

Executed a mathematical refactoring of critical Airflow DAGs/Celery workers, implementing vectorized algorithms via NumPy. To eliminate operational blindness, architected and deployed an enterprise-grade observability stack (Grafana, Loki, Prometheus), enabling real-time telemetry for GPU-accelerated clusters.

result

5–10xthroughput acceleration in pipeline execution, directly unblocking engineering decision-making processes. Radically reduced Mean Time To Resolution (MTTR) for incidents through transparent infrastructure monitoring.

Career Timeline

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Got a hard problem?

I work with startups and technical teams building things that matter. Drop a brief — what's broken, what you're building, or what foundation needs to be laid right.

brief sentreply in 24h30min callproposal or honest no