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Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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jordanallred/README.md

Jordan Allred

Software developer working across low-level security tooling, systems programming, and applied machine learning.

jordanallred.dev  ·  LinkedIn


Python C TypeScript Docker FastAPI React scikit--learn


About

I build software across a few different areas: binary analysis and exploit-development tooling, small backend services (FastAPI, Docker), and — going back further — classical machine learning systems (scikit-learn, reproducible training pipelines). Recent work leans toward reverse engineering and security research; earlier projects focused on applied ML and lightweight web demos.


Featured projects

ropnroll Semantic ROP/JOP gadget finder and automatic exploit-chain synthesizer for Windows PE binaries.

stkfmt Generates clean terminal diagrams of hand-authored memory layouts for reverse-engineering notes and write-ups.

pktfmt Generates RFC-style ASCII packet diagrams from field definitions — a pip-installable, cross-platform alternative to the protocol tool.

Live-Object-Detection Home-surveillance system with real-time object detection and a web interface.

Skills

Area Tools
Security & systems Reverse engineering, exploit development, binary analysis, Windows internals
Languages Python, C, TypeScript, Swift
Machine learning scikit-learn, pandas, numpy, feature engineering, cross-validation
Infra & backend Docker, docker-compose, FastAPI, REST APIs
Web React, Next.js

Pinned Loading

  1. Live-Object-Detection Live-Object-Detection Public

    A modern, responsive home surveillance system with object detection capabilities and a user-friendly web interface.

    Python

  2. MLP MLP Public

    A multilayer perceptron implemented in C

    C

  3. rock-paper-scissors rock-paper-scissors Public

    A rock paper scissors game using rudimentary online machine learning to train an agent opponent.

    Python

  4. AIM-IT AIM-IT Public

    Graduate Research in Author Masking Technique for IEEE

    Python

  5. Granular_Stock_Prediction Granular_Stock_Prediction Public

    Personal project integrating research-based methods for AI/ML for granular stock prediction

    Python 1