i'm a software engineer based in the philippines, driven by curiosity and whatever i find interesting. i learn fast with the caveat of goldfish memory (which i call my context lol) and i'm usually self-motivated that i forget to eat.
this is not like other portfolios. feel free to have a look around and explore what makes me, me.
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@schmayterling
open githubrecruiter?
(follow the red line) →one question usually turns into three projects and too many open tabs.
i update this board whenever my attention changes, so it never settles into a final form.
my desktop is scattered screenshots, dozens of windows, half-finished checklists, and constant switching.
whatever feels urgent or interesting gets the whole pile.
i turned weeks of neuroscience papers into her memory system.
someone else is
on the other end.
i enjoy writing code.
if ai solves every problem,
what's left?the same circle, over and over.
i'm less interested in whether it's good.
diffusion models
atlas maps symbols, calls, tests, and history so developers and agents can ask structural questions about a repository.
weave gives long-running agents memory, state tracking, and retrieval that can be inspected.
892 commits. the personal AI agent i've been trying to build since 2023 is finally becoming something i'm proud of.
AI makes me faster. It also might be making me dumber. I'm figuring out where the line is.
28 tasks × 5 trials · +0.125 det · −34% tokens/task
apr 18–19, 2026 · atlas
28 tasks × 5 trials · +0.125 det · −34% tokens/task
at 18:03 on apr 18, 58 seconds after the benchmark commit, the score was +0.125 deterministic and +0.035 llm while tokens per task fell 34% and cost fell 25%.
i mapped symbols, calls, and tests, then compared the agent against plain text tools before trusting the graph.
the first result looked too good, so i gave the judge code tools and added unseen corpora before trusting it.
i turn an idea into a tool, measure it, look for the embarrassing counterexample, and keep whatever survives.