Karan Patel
Founder & CEO · TalkingSchemaAgentic orchestration and evaluation-led iteration — turning plain language into production-grade schemas and warehouse designs.
About
Karan Patel is the Founder and CEO of TalkingSchema — an AI-powered ERD copilot for engineers, data teams, and architects. He owns the agentic orchestration: how models route across reasoning and execution steps, how structured outputs are validated against schema constraints, and how reflection loops recover from invalid proposals before anything reaches your canvas.
Karan’s work spans relational and warehouse design — Kimball, Inmon, Data Vault 2.0, SCD patterns, zero-downtime migrations — and the model lifecycle around those domains: evaluation harnesses, prompt and tool contracts, and disciplined iteration when underlying LLMs or providers ship updates. He writes about AI-assisted data modeling and how agentic workflows change the economics of schema design at scale.
Built at TalkingSchema
Schema design intelligence
Domain reasoning behind Plan Mode — constraints, normalization, warehouse patterns, and validation rules the agent must satisfy before changes reach your canvas.
Agentic orchestration
Multi-step agent workflows: routing, structured outputs, reflection and retry loops, and hand-offs between reasoning passes so schema edits stay auditable and reversible.
Model lifecycle & quality loops
Evaluation-driven iteration — benchmarking prompts and tool contracts across model versions, tightening grounding so production outputs stay consistent as models update.
Data warehouse modeling
Kimball star schema, Inmon 3NF, Data Vault 2.0, SCD types 0–6, snowflake and OBT — encoded into product behavior and AI guidance.
Technical writing
Deep dives on data warehouse methodology, schema patterns, and AI-assisted modeling for practitioners.
Expertise
PostgreSQLSQL
PythonMulti-agent orchestrationLLM evaluation & iterationPrompt & tool designData Vault 2.0Kimball dimensional modelingStar & snowflake schemaZero-downtime migrationsOLTP & OLAP patternsPublished Articles
· A practical guide to choosing between the three dominant data warehouse modeling approaches — trade-offs, ETL complexity, and when AI changes the calculus.
· Why conversational AI fundamentally changes the database design workflow — from prompt-driven ERD generation to Plan Mode change review.
Co-founder
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