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Timeline

Everything in order. Assembled from the actual record — repository history, research work and coursework — rather than from memory.

  1. 2026
    • Aug 2026

      Built "brain", an agentic second-brain system

      Claude-operated personal knowledge system: a markdown + SQLite vault, custom skills (capture, meeting processing, briefings, standups, weekly review, career history, LinkedIn, site generation), a Next.js dashboard, and scheduled automation. 32 commits on the first day, through the job-search pipeline and the LinkedIn/brand layer. Runs entirely on the Claude Code CLI subscription — no API keys anywhere in the system.

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    • Aug 2026

      Rebuilt the portfolio site on Astro and made it publish itself from the vault

      Second rebuild of milburnj.github.io, Next.js → Astro 5 with React islands. The larger change is that the site stopped being a place content is written: `scripts/portfolio_sync.py` regenerates its content from this vault, a scheduled task pushes, and GitHub Actions deploys. Approval lives in vault frontmatter — a confidentiality gate aborts the whole run before writing a file. 17 commits in August.

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    • Jul 2026 – Aug 2026

      Built plat, an agent-native hosting platform

      Personal project (confirmed 2026-08-16): hosting for the small apps coding agents actually produce — too much work to deploy by hand, too small to justify a platform team. Contract-first app spec, an Azure control plane with Bicep infrastructure as code and Key Vault-backed configuration, a Fly.io workload plane, and three adapters over one service layer (REST API, typed client, MCP server) plus a CLI. Later added a web dashboard with email-link auth, GitHub import, and Alembic migrations. Playwright covers the auth/session path — and was proven by deliberately breaking the credentials/CORS path to see whether the suite caught it. It didn't, which is the finding.

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    • Jun 2026 – Jul 2026

      Rebuilt Pips' art pipeline around AI-generated soft-3D assets

      Cross-platform fitness game (Expo/React Native, TypeScript, Supabase, Strava) where real workouts are the only way to grow a collection of 28 creature species — no mechanic ever sells creature power. This chapter pivoted the visual direction from pixel art to soft-3D: an image-to-3D asset pipeline (gpt-image-2 → Meshy) and a repeatable per-species styling seam. 43 commits in the repo from 2026-06-09; `projects/pips.md` records an earlier design start of 2025-11-29 (?) that no scanned artifact corroborates.

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    • May 2026 – May 2026

      Built paydirt, a problem-mining agent

      Turns internet complaining into a short list of defensible business hypotheses. Adapters over Reddit, Hacker News, GitHub Issues and the App Store feed a two-pass pain-point extraction; candidates are embedded and clustered online, so recurring complaints collapse into one scored, velocity-tracked cluster instead of a thousand duplicates. A search stage mines complaints *about the incumbents*, then synthesis writes a hypothesis and an independent critic pass scores it — the guard against an LLM producing plausible generic slop forever. TypeScript, Next.js, Postgres + pgvector, Drizzle, Azure OpenAI.

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    • Apr 2026 – Jun 2026

      Built and shipped Julienne, an iOS cooking app, to the App Store

      Receipt scanning (OCR plus a normalization layer that turns thermal-printer abbreviations into real ingredients) feeding a pantry, an assistant that suggests meals from what you actually have, StoreKit 2 subscriptions, Supabase sync, and CI for the app, the backend and the marketing site.

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    • Feb 2026 – now

      Production document-intelligence pipeline

      Classification and field extraction over inbound clinical documents using Azure Document Intelligence custom models, Azure Functions, Blob Storage and PostgreSQL, with separate dev and production environments. 132 commits; August added a prod-measured cost analysis and a shadow-mode LLM extractor (see the 2026-08-17 milestone).

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  2. 2025
    • Dec 2025 – now

      Operational analytics platform

      Next.js/TypeScript reporting platform over a SQL reporting warehouse: provider utilization, billing performance, accounts receivable and provider productivity. Includes HR/payroll data reconciliation, role-scoped access control, and a golden-file regression workflow so report numbers can't silently drift. 142 commits and still active — August work centred on the billing-performance pages (one declared time window per page) and on verifying clinician-level figures against the source data.

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    • Aug 2025 – now

      Software Engineer, Aurora

      Builds production ML pipelines and the data platforms and dashboards around them for a healthcare services organization. Confirmed by Jake 2026-08-16; earliest employer commit is 2025-08-29.

    • Jul 2025

      Rebuilt the portfolio site on Next.js + Tailwind

      Static-exported Next.js App Router site on GitHub Pages with an MDX blog pipeline; 18 project write-ups. Superseded by the Astro rebuild in 2026.

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    • May 2025

      M.S. Computer Science, University of Delaware

      Coursework: computer vision, machine learning, large-scale machine learning, NLP, artificial intelligence, data mining, AI for bioengineering and bioinformatics, computer architecture, algorithm design and analysis, parallel computing, mobile robot programming, automata theory, cybersecurity, HCI.

    • May 2025

      Artificial Intelligence Certificate, University of Delaware

    • May 2025

      Evaluated RFdiffusion for constrained protein design

      Unconditional backbone generation, symmetric oligomer design and hotspot-guided binder creation, scored through the ProteinMPNN → AlphaFold loop.

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    • Feb 2025 – May 2025

      Seafloor sediment segmentation with U-Net

      Semantic segmentation of seafloor imagery plus bathymetry across 17 sediment and substrate classes; U-Net with ResNet backbones, class-weighted loss, IoU ≈ 0.74 on the held-out set.

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    • Feb 2025

      FathomNet scaling study

      How detection models scale on the FathomNet underwater dataset — bounding-box coverage, class distribution and training feasibility across dataset sizes and taxa.

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    • Feb 2025

      BERT sentiment classifier on ~70k tweets

      Fine-tuned BERT for three-class sentiment; ~92% accuracy on a curated ~70,000-tweet set.

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  3. 2024
    • Dec 2024

      B.S. Computer Science (AI & Robotics concentration), University of Delaware

    • Nov 2024 – Dec 2024

      Optimized matrix multiplication down the memory hierarchy

      Successive optimization from naive loops through cache blocking to CUDA/cuBLAS, profiled with Nsight Compute against an OpenBLAS baseline.

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    • Feb 2024 – May 2024

      AI/ML Researcher, UD DeepREAL Lab

      Led research on scalable multi-class classification of marine terrain with CNNs and U-Net/ResNet architectures; built preprocessing pipelines for sonar and bathymetric data and evaluated with IoU/Dice.

  4. 2023
    • May 2023 – Jul 2023

      Augmented Reality Engineer Intern, ZipCode Wilmington

      Built a real-time AR learning app with WebAR and JavaScript — 3D rendering, object tracking, and marker-based interaction; improved latency and responsiveness.

  5. 2022
    • May 2022 – Sep 2024

      Software Engineer, IncNow (summers)

      Designed, fine-tuned and deployed LLMs for a production AI customer-service assistant across web and Slack. Built RAG pipelines with vector-store retrieval and tuned embeddings for factual responses; ran prompt engineering and error analysis; maintained training logs and evaluation metrics for continuous deployment on AWS Lambda and SageMaker; added OCR/NLP document and form parsing.

  6. 2020
    • Sep 2020 – May 2025

      Student-athlete, University of Delaware Men's Crew

      Five seasons alongside a full CS course load and research.