AI Engineer building LLM agents that run in production for B2B clients — automating document- and email-heavy workflows inside the systems companies already use. 🏅 Google Cloud Associate Cloud Engineer (ACE)
Most of my work sits in the gap between a demo that impresses and a system people actually trust: guardrails that make automated decisions safe to act on, integrations with the tools a business already runs on, and the multi-tenant foundations that let one product serve many customers. I care about the parts nobody demos — what happens when the model is wrong, when the API is down, when real data doesn't look like the fixtures.
- AI / Agents: Google ADK, MCP, Vertex AI, Gemini Live, LLMs, Multi-agent Systems, RAG pipelines, LangChain
- Backend: Python, FastAPI, Node.js
- Frontend: React, TypeScript, Next.js
- Data: PostgreSQL, Firestore, BigQuery
- Cloud/Infra: GCP (Cloud Run, Cloud SQL, IAM), Terraform, Eventarc, Cloud Tasks, Pub/Sub
- Integrations: Microsoft Graph, n8n
- Auth: JWT, Firebase Auth, Workload Identity Federation
🤖 Multi-agent AI platform — RBAC, multi-tenant architecture, deployed on GCP Cloud Run
🏥 Voice AI agent for medical outreach — real-time voice pipeline with Gemini Live + Twilio + ADK
🖼️ Event-driven image pipeline — fully automated with Terraform + Eventarc + Cloud Functions
🔗 LinkedIn: linkedin.com/in/marktaratynov