I am currently studying math, building software, and training Judo.
I enjoy making games as a hobby and I'm interested in economics, statistics, and predictive models.
Implemented a fast, memory-efficient image→ASCII renderer in Rust that preserves visual detail using aspect-aware resizing, luminance mapping, and error-diffusion dithering.
Streamed output and parallelized per-row processing to minimize memory overhead and accelerate transforms on multi-core machines.
STACK: RUST
[NEMO]
A people and company research tool for sales teams and recruiters
Built a modular, tools-based Python backend that orchestrates multi-source web search and content extraction to power an agentic company-research application.
Designed a pluggable Tool interface so new data sources (YouTube, LinkedIn, filings, etc.) can be added with minimal changes to orchestration.