alex nodeland

mathaudio dspdistributed systemsai

i build ai systems, mostly the infrastructure: agent orchestration, evaluation loops, and the data model everything else depends on. currently senior ai engineer at perch insights.

before that i co-founded archanan in singapore and ran it as ceo for four years. we built cloud emulators of supercomputers so people could develop at scale without waiting for time on the real machine. i also led engineering at musiio, a music-ml company that soundcloud later acquired. before any of that i worked on wavelet bases for audio compression at stony brook, and wrote firmware for guitar pedals.

i write rust on weekends, mostly audio synthesis and probabilistic programming. the backgrounds on this site are simulations running in your browser, not video. the landscape icon in the corner opens their controls.

what i work on

ai systems
agent orchestration, structured context, constrained generation, observability and auditability
infrastructure
aws, container orchestration, infrastructure as code, and ci/cd
data engineering
pipelines, semantic models, and data lineage
evaluation & observability
eval sets, feedback loops, and monitoring for regressions
technical strategy
architecture review, build-vs-buy, and roadmap planning
creative technology
audio dsp, synthesis, and generative visuals

consulting

i take on a few consulting engagements a year, and they tend to be one of two things. sometimes a team has an llm prototype that demos well and breaks in production, and wants help finding out why. in my experience the problem is rarely the model. it is usually the data model, the evals, or how failures are handled. other times a team is earlier than that, and wants a second opinion on whether ai belongs in their product before they commit to building it.