isa
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$ currently building adaptive STEM tools + audio software
Technologies
Experience
- Incoming Associate Web Developer role focused on building and maintaining server-side systems, APIs, and data-backed application infrastructure.
May 2026 – Present
- Architected and shipped an AI-adaptive learning engine in Flutter/Dart using Bayesian Knowledge Tracing, modeling each student's latent knowledge state in real time to dynamically adjust explanation depth, code visibility, and hints across lessons.
- Engineered a multi-signal delivery layer combining 4 inputs (quiz performance, time-on-page, hint reliance, and per-page mistake counts) into a continuous difficulty score, improving adaptation accuracy over a quiz-only baseline.
- Designed the persistence layer on Supabase (Postgres) to carry adaptive state across sessions and recover partial signal on mid-lesson exits, eliminating dropped engagement data that previously reset on every navigation.
May – July 2026
- Diagnosed and fixed a React performance bug where a scroll listener was unmounting and remounting on every scroll frame; replaced it with a shared requestAnimationFrame-throttled hook used across 3 core components, improving the homepage Lighthouse Performance score from 73 to 88.
- Cut total image payload 88% site-wide (105.9MB to 12.7MB) across an 11-page Next.js site by resizing camera-resolution originals (some over 15,000px) to real display dimensions and converting to appropriate formats, dropping Largest Contentful Paint by up to 38% and page weight on the worst-offending page by 89% (5,268 KiB to 563 KiB).
- Validated performance work with controlled before/after Lighthouse audits, building and serving both the pre-fix and post-fix commits in production mode on the same machine to isolate the actual impact of each change.
- Root-caused and fixed 5+ rendering bugs beyond images, including a mobile Safari scroll-jank trigger (fixed-attachment backgrounds), competing CSS/JS animations fighting over the same element, and a layout-thrashing height/overflow bug, cutting Total Blocking Time by up to 83%.
- Built a 6-page production site from scratch (HTML/CSS/JS, no framework) for an internal methodology framework, taking it through a 3-stage deployment pipeline and 3 structured stakeholder feedback checkpoints (40%, 60%, 80% complete).
- Modernized a second live client site, standardizing content across 5+ pages and identifying an architectural dependency that prevented duplicated booking/checkout logic before it shipped.
May 2024 – May 2025
- Engineered a two-sided marketplace platform used in behavioral-economics experiments with 4,000+ users and LLM-based agentic AI sellers using React, Node.js, and JavaScript.
- Designed backend REST APIs and refactored server-side logic to support multi-product producers with dynamic product configuration.
- Shipped bi-weekly production builds in an agile workflow, iterating on UI and backend based on feedback from 100+ live users.
Software Engineer Intern · Peoria Investments
Winter 2025
- Built Python automation scripts and reusable data pipelines to ingest and process property data, reducing manual evaluation time by 35% with unit tests ensuring data integrity.
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