About — Dhairya Pareek

I'm a Data Science & AI student and founder based in Berlin, building production data systems and AI automation layers across agriculture, productivity, and business operations.

My work spans backend integrations, analytics pipelines, dashboard architecture, applied machine learning, and AI workflow engineering. I design systems where each layer has a clear purpose — from ingestion and retrieval to model orchestration and product output.

I founded Unwind AI to build custom intelligence systems on top of open-weight model infrastructure — with domain-specific orchestration, retrieval workflows, and product integration. Not a chatbot wrapper. A production AI automation layer.

I've shipped GoHighLevel integrations, marketing analytics pipelines, KYC Agri (live commodity AI platform), and data infrastructure in real business environments where speed, reliability, and output quality matter.

I'm open to opportunities across Data Engineering, AI Systems, Analytics Engineering, and venture collaborations — ideally in teams building real products with serious technical depth.

Systems Thinking

I map the data flow before I write code — sources, storage, transformations, failure points, and downstream consumers. Architecture first.

Business Context

I care about what the system enables: a decision, an automation, a better workflow, or a measurable outcome. Technical depth without business purpose is noise.

AI-Native Execution

I treat AI like engineering — structured inputs, robust workflows, retrieval architecture, guardrails, and production realism. Not prompt hacking.

Founder Mindset

Running Unwind AI taught me to think about product, users, market positioning, and technical quality simultaneously. I build for real people solving real problems.

I build systems,
not just projects.

The venture I'm building.

I build systems,not just projects.

The venture I'm building.

I build systems,
not just projects.