FDR.sh

Fred Rohrer

Cybersecurity Engineer & Problem Solver

Currently doing classified work at NBCUniversal

Staff Cybersecurity Engineer with expertise in AI/ML, app security, response automation, and DevOps.

Fred in the Desert

Hey friend!

About Me

Professional Background

With over 10 years of experience in cyber security and software development, I specialize in building secure cloud infrastructure and AI-powered security solutions. My expertise spans cloud security, threat detection, and automation, with a particular focus on implementing robust security measures across enterprise environments.

My motto is "Adaptability is more important than good planning." though I also love a good plan.

Education

M.Sc in Cybersecurity & IT Auditing

Temple University

B.A in Film & Media

Temple University

Technical Skills

Cloud Security

Security Tools

Python/JS/TS

DevOps

AI/ML

Automation

Work Experience

Staff Cybersecurity Engineer

NBCUniversal

2024 - Present

Helping teams build more secure AI solutions.

Cybersecurity Consultant

Accenture

2020 - 2024

Led security AI and ML solutions development and built a thing that generated $80M in sales.

Featured Projects

Project 1

LLM UI

A UI for using LLMs via API, cheaper and more control. Built-in tool execution.

React Node.js Cloudflare One Auth OpenAI Anthropic Google Gemini Grok FAL Deepseek
Project 2

AI-Enhanced Jeopardy

An interactive web-based Jeopardy! game powered by GPT-4 for answer judging and TTS for enhanced gameplay.

React Node.js Docker OpenAI GPT-4 WebSocket Nginx
Project 3

KILN

A secure code execution engine for running LLM-generated code. Extends Piston engine with multi-language support, Streamlit UI hosting, and comprehensive API - all running locally.

Python Docker Streamlit FastAPI

Latest from my Blog

Apr 16, 2024 Web Development

Just-in-Time Coding: The Future of AI-Driven Software Development

Exploring how AI-driven just-in-time coding approaches are revolutionizing software development practices and workflows.

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Oct 27, 2024 Computer Vision

Detecting AI-Generated Images Using Entropy Analysis

A technical deep-dive into using entropy analysis and other statistical methods to detect AI-generated images.

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April 14, 2024 Detection

Building a Binary Classifier in Keras for Splunk Logs

A technical guide on implementing a binary classifier using Keras to analyze and categorize Splunk log data for anomaly detection.

Read More