Software Engineer · backend, distributed systems, applied AI
Electrical engineer by training (power systems), writing software professionally since 2019.
Most of my work is on large JVM service monorepos, event-driven systems over AMQP, Python ML pipelines for embeddings and NLP, and the Kubernetes platform underneath all of it. Currently spending my time in NestJS/TypeScript and a lot of Rust.
On the side I'm building a web-native power systems simulation platform in Rust, plus some tooling for AI coding agents.
Languages · Java, Kotlin, TypeScript, Python, Rust, Go, C/C++, SQL
Backend · Spring, NestJS, FastAPI, Node.js, RabbitMQ, gRPC, microservices
Data · PostgreSQL, Cloud Spanner, ClickHouse, Redis, BigQuery, vector databases
ML · PyTorch, embeddings and vector search, RAG, NLP, graph neural networks
Infra · GCP, AWS, Kubernetes, Helm, Argo CD, Docker, IaC, OpenTelemetry