Tanya Deputatova

Data Architect: GTM & MI

Bio

Tanya brings cross-functional background in Data & MI, CMO, and BD director roles across SaaS/IaaS, data centers, and custom development in AMER, EMEA and APAC. Her work blends market intelligence, CRO and pragmatic LLM tooling teams actually adopts and analytics that move revenue.

LinkedIn

Why your LLM bill exploded overnight (and how to regain control)
LLM bills spike overnight from retry storms, agent loops, and prompt bloat, not steady usage. Learn the guardrails: retry budgets, token caps, cost-aware routing, and unit-metric alerts, all enforced at one boundary.

RAG Cost Control for AI Agents: How to Prevent AI Spend Drifts
RAG and agentic costs drift when retrieval, tools, API calls, and routing lack a shared control layer. Learn how to measure, audit, and reduce spend with API orchestration—without rebuilding from scratch.

The Hidden Cost of Non-Compliance in AI
Learn how the EU AI Act, Colorado's AI Act, and California SB-53 impact engineering teams and how to build audit-ready AI systems.

When Prompt Injection Gets Real: Use GraphQL Federation to Contain It
How GraphQL Federation helps protect AI systems from prompt injection by enforcing runtime boundaries, scoped access, and signed configurations.