_{ANTON  ·  my own pages}

_{Looking for the app? praviel.com. PRAVIEL's other pages are further down, under What I am building.}

I am building PRAVIEL, an app that rests on one small heresy: the old languages are not dead, only unspoken, and unspoken is a curable condition.

• Founder and lead engineer of PRAVIEL, a lessons-first app that teaches ancient languages as living, speakable systems. I designed it, I built it, and I run it.
• Trained in artificial intelligence at the Institute of Science Tokyo. Before PRAVIEL: speech recognition on supercomputers, LLM agents, production document AI at Quantiphi, and a startup or two. These days the models report to the languages.
• Native in English, Russian, and Ukrainian; Japanese earned over four years in Tokyo; Chinese barely past counting to ten. Five living languages is decent training for reviving the silent ones, which these days I am learning myself: Latin, Ancient Greek, Hebrew, Sanskrit, and the rest of the syllabus.
• I care about pronunciation, provenance, and shipping. Order depends on the day.
• My test for a lesson is plain: not whether you can parse an old language, but whether you can say it aloud and be understood. PRAVIEL has to pass it every time.
• In San Francisco, in person. Open to good engineering work, full time or contract, and always open to a conversation about languages. anton@praviel.com

PRAVIEL: Ancient Languages. Duolingo proved that five minutes a day can carry a language; PRAVIEL points that habit at Latin, Ancient Greek, and nine other ancient tongues, and holds it to a scholar's standard. Short daily lessons in speaking, listening, and reading, with reconstructed pronunciation you can actually hear. Hold a conversation with a historical persona, or tap any word of a real text to take it apart. Built for beginners, checked by experts. Free to start, on web, iPhone, and Android. PRAVIEL  ·  the company's pages, not mine

_{Under the hood: one Flutter and Dart codebase carries the app to iPhone, Android, and the web; the marketing site is Next.js on Node at praviel.com; the AI tutors keep their sources in order. The languages remain the hard part.}

Also on the bench. A private research stack for systematic trading, under QuantGenAI: seven repositories that keep market data, research, laboratory, execution, and monitoring apart, with versioned contracts between them and a risk kernel allowed to refuse anything the laboratory approved. The interesting part is not a strategy. It is that the apparatus is calibrated against planted effects and against deliberately contaminated data, so it can tell a real result from an artifact of how the panel was assembled, and I have turned it on my own best finding more than once and lost. Nothing there has earned the right to trade, and nothing claims to have.

From the workshop. A few public pieces from the machine-learning years:

_{Every script baked to vector paths: the Arabic joins, the Sanskrit ligates, the Hebrew runs right to left. Egyptian hieroglyphs live in the app.}

_{The first row's adjective is Pliny's: he files Archimedes under machinalis scientia (Natural History 7.125).}

_{A new line each morning, by GitHub Action, from people considerably wiser than me. The small word in the lower margin is the catchword: tomorrow's first word, the way scribes kept their quires in order.}

_{GitHub sees only my open half; the busiest repositories are private. Roman numerals make any figure look deliberate.}

_{A serpent once grazed the offerings at Anchises' tomb, and Aeneas wondered if it was the spirit of the place (Aeneid 5.84-96). This one grazes on commits.}

Two ideas sit in the drawer and receive the occasional weekend visit: a proper game for learning ancient languages, with a world in it rather than flashcards with confetti, and an app that finally teaches music theory the way theory deserves. Neither has moved to the bench; PRAVIEL holds the floor. Good seeds keep.