> projects

Things I've built.

Production systems, research projects, and things that started as experiments and became real.

> featured

vibeapp

in developmentsolo project

AI-powered iOS app that lets users describe any web app in plain language — or voice — and instantly deploys it live on Vercel. Streaming Claude chat with vision, Groq Whisper transcription, and one isolated Vercel project per generated app. Built solo — backend, mobile, infra, everything.

stack

Next.js 15React NativeExpo SDK 55Drizzle ORMNextAuth v5Claude Haiku 4.5Groq WhisperVercel Deploy APISSE Streaming

key decisions

Claude Haiku 4.5 over GPT

Streams faster at lower cost for code generation. Latency matters when the user is watching an app get built in real time.

Next.js + Node SDKs over Python backend

Anthropic, Groq, and Vercel all have first-class Node SDKs. One runtime, one deploy target, no cross-language glue.

One Vercel project per generated app

Each user-generated app gets its own isolated Vercel project via the Deploy API. Clean separation, independent logs, no shared blast radius.

GitHub — private during developmentiOS app — in development

> production work

RAG Pipeline — Design Dataset Search

floorplannerjunior ai developer · 2025

Built a production RAG pipeline over Floorplanner's large-scale design asset dataset — millions of rooms, floors, and product placements. Designed the retrieval architecture end-to-end so the LLM could actually reason over the data instead of just searching it.

what I built

The Chunker

Internal tool that transforms Floorplanner's design database into structured chunks optimized for LLM consumption and vector search. Became the canonical way to feed design data to LLMs.

Hierarchical chunking strategy

Project → floor → room → items. Preserves structural relationships so retrieval returns contextually coherent results instead of orphaned fragments. Major retrieval-quality improvement over flat chunking.

Semantic search + product-in-room prototypes

Prototyped ML models for semantic search across design metadata and AI-assisted product placement inside rooms. Directly improved usability of the design dataset for downstream AI features.

stack

PythonLangChainQdrantEmbeddingsHierarchical ChunkingSemantic SearchVector SearchRAGLLMs

> other work

CoreMagnet / VU Amsterdam

Bachelor Thesis — MCP + Claude AI Workflow Automation

Researched and implemented Model Context Protocol integration with Claude to automate enterprise workflows. Evaluated accuracy, latency, and agent reliability across real business processes.

MCPClaude AIAutomationLLMPython

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VU Amsterdam

Predictive Models — Video Game Dataset

Applied ML classification and regression models to predict game sales and ratings. Compared model performance across feature engineering strategies.

Pythonscikit-learnPyTorchMLData Analysis

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VU Amsterdam

NLP / Text Mining Project

Built a text mining pipeline including tokenization, POS tagging, NER, and sentiment classification. Evaluated multiple NLP architectures on a domain-specific corpus.

NLPspaCyTransformersPythonText Mining

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VU Amsterdam