I build software and infrastructure that helps scientists work with complex data reliably, reproducibly, and at scale. 🧬

My work sits at the intersection of software engineering, bioinformatics, data platforms, and DevOps — from building APIs and data pipelines to deploying the infrastructure that keeps them running.

Languages & Backend

Python · TypeScript · FastAPI · SQL · PostgreSQL

Data & Workflows

Airflow · Nextflow · RabbitMQ · Redis · S3 · MinIO · Ceph

Infrastructure & DevOps

Podman · Docker · Kubernetes · Linux · systemd · NFS · Proxmox

Observability

Grafana · Prometheus · Loki · Grafana Alloy

Frontend

React · Next.js · Vite

• 🧬 Research Software Engineering
• 🏗️ Platform & Infrastructure Engineering
• 🔄 Reproducible scientific workflows
• ⚙️ Automation and developer tooling
• 📊 Data-intensive applications
• 🔭 Observability and reliable systems
• 🌱 Sustainable research software

I'm particularly interested in how good engineering practices can make research software easier to build, operate, reproduce, and maintain.

Most of my work revolves around building platforms rather than isolated applications.

That means thinking about the whole system:

Data
  ↓
APIs & Services
  ↓
Workflows & Pipelines
  ↓
Infrastructure
  ↓
Observability
  ↓
Reliable Research

I enjoy working on the pieces in between — making systems automated, observable, reproducible, and boring to operate.

My professional work involves building software platforms for life-science and bioinformatics research, including data integration, workflow orchestration, APIs, storage, and infrastructure.

I care about more than getting a pipeline to run once.

If research software cannot be reproduced, observed, maintained, and understood, it isn't finished.

• Platform engineering for research environments
• Cloud-native infrastructure
• Research software sustainability
• Distributed systems and event-driven architectures
• Observability and operational tooling
• Engineering practices for reproducible science

I'm interested in connecting with people working on:

Research Software · Bioinformatics · Platform Engineering · DevOps · Scientific Computing · Open Source

If you're building tools that make science more reproducible, reliable, or scalable, I'd love to hear about it.

I started from a life-science background and ended up enjoying the engineering problems behind the science.

Now I build the infrastructure that helps the science happen. 🧬 → ⚙️