Main tech skills:

AI/ML: LLMs, RAGs, predictive models, machine vision; MLops (K8s, Airflow, Kubeflow, Flyte, Seldon, KEDA, ELK, Kibana), end-to-end systems (algorithms, data pipelines, training, inference, deployment); Vector DBs (Qdrant, Chroma); data lakes; performance- and cost-driven implementations (C++/Rust).

Backend / systems (languages): Rust, Python, Go, Zig, C++, C, Haskell, Scala, Typescript, Node.js, Next;

Infra / DevOps: NixOS/Nix, AWS, Terraform, Docker, Ansible; CI/CD, Linux internals, observability, reliability engineering.

Fintech / crypto: Launched Tezos and other blockchains; smart-contract audits; regulated, security-critical environments; built production systems for trad banks.

Security: Cryptography, threat modeling, audits, reverse engineering.

Leadership: Staff+ IC → CTO; led teams 2–30; hiring, mentoring, technical strategy, raising VC.