Hi, I'm Will Boudy, and I'm currently working on a Master's in Computer Science at Johns Hopkins University.

Focused on agent orchestration, applied deep learning, and information retrieval systems.

Here's some of my work.

Will Boudy

Work

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    Dynamic Titles at Amazon

    Built a LLM-driven title generation system and shipped experiments to 10K+ users.

    Experimentation
    Catalog Personalization
    Summer 2025

Research

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    Forecasting with Dr. Andrews

    Training deep research forecasting agents for general event prediction.

    Probabilistic Forecasting
    Information Retrieval
    Ongoinglab
  • >
    Biopharma with Dr. Betenbaugh

    Genetically engineered CHO cell lines for enhanced monoclonal antibody (mAbs) production. Mentored a student through a summer project on fungal bioleaching of metals.

    CHO Engineering
    mAb Production
    2022-2024lab

(Pinned) Projects

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    Mycelium

    Personal knowledge vault and Obsidian-style workspace for research and development notes.

    Note Systems
    Research Logs
    Ongoinggit
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    Tally

    Voice-first logging assistant that turns spoken updates into spreadsheet-friendly entries and lightweight tracking.

    Speech Input
    Tabular Tracking
    Ongoing
  • >
    Fly Orchestration Kit

    Project-agnostic toolkit for orchestrating multi-agent coding workflows: a deterministic FSM control plane with retry/escalation, Agent Mail transport, 50+ curated fly-prompts, and 118 portable skills synced across Claude, Codex, and Gemini. Built on Emanuel's Flywheel.

    Prompt & Skill Library
    Agent Coordination
    Two-week projectgitnotes
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    Entropy Wiki

    Reference hub covering coding agent environments, orchestration frameworks, and reusable AI skills and prompts.

    Agent Ecosystems
    Skill Library
    One-day projectgit
  • >
    Antigravity Crew

    Human-gated agent workflow tailored for the Google Antigravity IDE, with clear planning, implementation, and verification handoffs.

    Human-Gated Flow
    Auditability
    One-week projectgitnotes
  • >
    Research Intelligence Engine

    RAG assistant featuring a two-stage retrieval pipeline: semantic vector search followed by cross-encoder reranking to provide cited answers across 100K+ arXiv papers.

    Scholarly Search
    Evidence Synthesis
    Two-week projectgit
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