Staff Engineer & Founding Member at Unstract — an open-source, no-code platform that automates extraction of unstructured data from complex documents, powered by LLMs.

I build systems that turn unstructured documents into structured, actionable data at scale. At Unstract, I work across the full stack — from LLM integration and data pipelines to the developer-facing platform — helping teams eliminate manual document processing.

I care deeply about clean architecture, developer experience, and shipping software that solves real problems.

• 🔧 Building and scaling Unstract — open-source LLM-powered document automation
• 🧠 Exploring LLM orchestration, prompt engineering, and retrieval-augmented generation
• ✍️ Writing occasionally on Medium about engineering and AI

Languages:      Python · JavaScript/TypeScript · Swift · Objective-C
Frontend:       React.js · Next.js
Backend:        Node.js · Django · FastAPI
AI/ML:          LLMs · LangChain · RAG · Prompt Engineering
Infrastructure: Kubernetes · Docker · ArgoCD · CI/CD
Data:           PostgreSQL · Redis · Elasticsearch

I'm always open to conversations about open-source, AI/LLM tooling, and engineering at scale. Feel free to reach out via LinkedIn or email.