Featured Projects
A selection of professional and personal work — full catalog on the Projects page.
What I Work With
Day-to-day stack across data engineering, ML platforms, and cloud / homelab operations.
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Python
Primary language for back-end services, data pipelines, and ML tooling. Capable of writing scalable, testable, and maintainable programs.
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Finance
Knowledge of financial instruments, macro and microeconomics, and how they influence the behavior of capital markets.
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Cloud Computing
Hands-on with the major clouds — AWS, GCP, and Azure — for data, ML, and platform workloads.
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AWS
Designing and operating data-intensive AWS solutions. AWS Solutions Architect — Professional and ML — Specialty certified.
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GCP
Experienced designing solutions on Google Cloud Platform; Professional Solutions Architect exam.
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Kubernetes
Operate a 5-node hybrid k3s homelab cluster (1 x86 control plane + 4 RPi5 ARM workers) running data, ML, and observability platforms.
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Docker
Most programs are dockerized. Experienced with multi-stage and multi-arch builds for ARM64 + amd64 environments.
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Linux
Daily-driver operating system. Comfortable with bash, systemd, networking, and container internals.
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Git
Experienced with git-based development workflows, primarily on GitHub with hands-on GitLab experience as well.
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PySpark
Authoring distributed data processing jobs and feature engineering pipelines on EMR for large equities and macro datasets.
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C++
Working knowledge of C/C++ for contest programming and performance-sensitive problem solving.
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Java
Working knowledge of Java for desktop tooling and integrations with Java-based libraries (e.g. AWS Kinesis Producer Library).