resume/ · 3 tailored versions

Three tailored resumes.

Pick the version that matches the role you're hiring for. All three are NDA-safe, free of proprietary data sources, and reference only public-data methodology or open-source work.

resume^{⋆} = ar g r \in R max fit (r, JD) where R = {R_{unified}, R_{AI}, R_{Quant}}

tailored

∣ R ∣

resumes

NDA-safe

\neg N

100%

by construction

quant proj

∣ P_{q} ∣

public-data

AI proj

∣ P_{a} ∣

OSS runnable

Unified · AI Engineer + Quant Researcher

The single-pane view: covers both lanes simultaneously. Best for recruiters hiring for a combined seat or undecided between the two.

4 pagesDownload PDF ↓

AI Engineer Lane

AI Engineer emphasis: multi-agent LLM systems, eval harnesses, MCP servers, and the projects that prove them.

4 pagesDownload PDF ↓

Quant Researcher Lane (one-pager)

Quantitative Researcher emphasis: nine public-data projects with real headline metrics, plus the methodology that ties them together.

1 pageDownload PDF ↓