About

I'm Marc — BionicSticks on GitHub. I'm an engineer with a background in bioinformatics and data science, and my work spans scientific data platforms, consumer mobile apps, signal processing, and LLM-native products. The projects listed here are recent builds I've shipped end-to-end, design, architecture, implementation. Larger full-stack products and data-heavy network-analysis work aren't shown here for IP reasons; happy to walk through them in conversation.

How I work

While my formal training is in genomic science and associated data analysis, where I've developed strong Python and R skills, I now build AI-forward. I use Claude and Cursor every day, and I don't hide that: the debugging loop is tighter, the iteration cycle is faster, and I get more useful products out the door. I use the most up-to-date tools to accelerate project creation, shipping, and implementation, while focusing on functionality, utility, and testing. Most importantly, I bring together my experience as a research scientist, web developer, and musician to apply in-depth project knowledge and utility edge cases to testing and development.

This portfolio is deliberately AI-assisted. I also maintain a separate hand-coded portfolio — plain HTML and CSS, typed by hand — because I like being honest about what I can do without help, and because the two modes teach different things. If that distinction matters for what you're evaluating, I'm happy to share it.

What I'm looking for

Engineering roles where the product has real users, the problems span domains, and the team treats LLMs as a first-class part of the toolchain rather than a curiosity. At home working across the full stack, but most comfortable extracting insight and utility from complex signals and data — audio DSP on watch escapements, statistics and ML across proteomic arrays, or shaping raw language-model output into something structured enough to ship.