About Armel Tenkiang
I am a Portuguese-American computer scientist of Fulani and Bamileke origin. I studied at the School of Computer Science (SCS).
I work mainly in TypeScript and Python on distributed systems, local-first runtimes, and verification-heavy workflows.
The work is shaped by partial connectivity, long retention, and uneven operator behaviour rather than ideal conditions.
Current focus: coordination systems, private settlement, audit trails, and bounded context for LLM systems.
Current Work
Current work centres on local-first coordination, private settlement flows, and systems that keep an auditable record of operational state.
Research Areas
- Zero-knowledge proofs for private state, selective disclosure, and auditability.
- Context shaping for LLM systems: constraints, compression, retrieval boundaries, and bounded memory.
- Local-first sync, CRDTs, and recovery under partial connectivity.
- Verifiable payment systems with private settlement links.
- Append-only coordination logs for multi-agent and human review.
Profiles
GitHub: 202 contributions in the last 12 months, as of May 23, 2026; 140 tracked project commits in 2026.
Listening
Occasional mixes and reference playlists live on SoundCloud.
Current Systems
Current systems include MyCasaPro, Au Jour Le Jour, Theo.farm, and Respometer, with research work continuing around GhostProtocol, ChattyPatty, and Soundcheck.AI.
Contact
For project notes or technical context, send a short message.
Email