____ ____ _
/ ___| __ _ _ _ | _ \(_)
\___ \ / _` | | | | | |_) | |
___) | (_| | |_| | | __/| |
|____/ \__,_|\__, | ___|_| |_|
|___/ |_____|
voice + LLM that *listen*
"Listening is the product."
Founder of Say, Pi · Applied AI Engineer · Long‑time shipper of reliable software
🏆 New Frontiers entrepreneur · ⭐ 4.9★ Chrome Web Store · 👥 Thousands of active users
I turn tricky human‑computer moments into smooth, useful experiences — specializing in real‑time voice AI, LLM orchestration, and production‑grade systems that respect how humans actually communicate.
A consumer service that gives AI assistants a natural voice interface where people already work. Think Whisper STT → LLM orchestration → expressive TTS, with low‑latency streaming, multilingual support, and polite end‑of‑speech detection (we wait for your last word).
- Agentic listening / discretionary responses so assistants talk when useful, not just when possible.
- Hands‑free interruption and smart barge‑in that avoids stepping on the user.
- Production‑grade: FastAPI/Node services, Postgres, auth, observability, CI/CD; graceful failover across model providers.
- Real users: 4.8★ Chrome Web Store rating with thousands of installs; strong retention and long sessions.
Goal: be the easiest way to add respectful, multilingual voice to any LLM surface.
I ship end‑to‑end systems that combine LLM integrations, evals/guardrails, RAG, observability, and reliability engineering. I'm comfortable choosing trade‑offs, then measuring them in production.
Languages & Frameworks:
Infrastructure & Tools:
AI & Voice:
Before Say, Pi, I spent years shipping in regulated and enterprise contexts:
- Merative (IBM Watson Health) — Staff engineer delivering high‑availability, HIPAA‑constrained data flows and life‑sciences apps; predictable releases, auditability, and operational readiness.
- IBM Watson — Multilingual NLP prototypes → hardened production services (incl. Arabic/Spanish); DevOps leadership, CI/CD automation; cloud migrations for enterprise clients.
- IBM Software Group — From feature ownership to refactors of acquired SaaS; performance, security, maintainability.
Bottom line: I bring enterprise-grade reliability and operational excellence to cutting-edge AI innovation.
- Ship small, ship often. (weekly at minimum)
- Tight feedback loops — user engagement drives everything; iterate fast based on real usage.
- Build in public — share early, gather feedback, improve continuously.
- TDD & evals — test-driven development + guardrails keep UX from regressing as models change.
- Iterative development — ship MVP, measure, refine, repeat.
- Privacy & reliability are user‑visible features.
- Docs & observability so teams move faster.
- Motto: Ship > cope.
- Founding/early engineering roles — Applied AI, voice, product engineering
- Short consulting gigs — Standing up real‑time voice/LLM systems
- Partnerships — Putting useful software in users' hands
- ✅ Active users with high retention & strong reviews
- ✅ New Frontiers entrepreneur
- ✅ Active community & production demos
- Big picture AI understanding — strong grasp of the AI landscape, latest developments, and emerging trends
- Staying current — continuously tracking and integrating cutting-edge AI/ML advancements
- Real‑time latency & barge‑in UX that actually works
- Multilingual support — voice that works globally
- Solving the "don't interrupt me" problem — respectful AI that waits
Email: [email protected] DMs open: @saypi_ai · @rosscads
Bonus geek fact: I've compiled a weekly crossword for ~15 years. Pattern‑matching and clue‑writing pair nicely with prompts, turns out. 🧩






