Curiosity-driven AI engineer who rapidly prototypes and ships: built open-source LLM metadata translators, scalable Embeddings & RAG pipelines, and a Rust API clustering millions of vectors in seconds. Skilled in LangChain, Hugging Face, and pgvector, I design experiments, build evaluation pipelines, and turn new research into practical PoCs—communicating results clearly to guide product strategy.
Led the investigation of the employment of a novel choice architecture approach to integrate the captured context into the data repository design, developing features that resonated with the user base.
Defined design improvements of electron detectors.
Co-led a 48-hour sprint to ship a Next.js app that transforms academic PDFs into multi-speaker, podcast-style episodes with live Q&A, marrying custom LLM condensation and speech-synthesis pipelines (TTS) with an accessible, mobile-first UI.
Build a no-code workflow-automation platform in a Next.js app that connects research staples such as Dimensions, Overleaf, and ReadCube, letting scholars stitch together cross-tool integrations in minutes and eliminating brittle, ad-hoc scripts. services through a no-code interface.