generalist engineer interested in building useful systems across ai, backend, infrastructure, and automation.
currently exploring ai/ml, distributed systems, developer tooling, inference infrastructure, mlops, and scalable backend architecture.
I enjoy understanding systems end-to-end — from models and APIs to deployment pipelines and production infra.
languages → python • typescript • javascript • go • c++ • sql • bash
backend → fastapi • node.js • express • django • grpc • websockets • REST APIs
ai/ml → pytorch • transformers • langchain • vector databases • rag pipelines • inference systems • fine-tuning • RLVR • diffusion & flow-matching models • mechanistic interpretability
devops/cloud → docker • kubernetes • linux • nginx • github actions • terraform • ci/cd • aws • gcp
databases → postgres • redis • mongodb • elasticsearch
interests → system design • self-hosting • observability • open source • performance optimization • automation • terminal workflows
simple • fast • maintainable • useful
building practical systems that combine ai, scalable backend systems, and reliable infrastructure.
always learning.