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@Keeper-Security
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jeremy-london/README.md

Hey 👋, I'm Jeremy

A dedicated Full Stack AI Engineer by day, Python enthusiast by night, and now, the Director of Engineering, AI & Threat Analytics at Keeper Security

Based in the the stunning Denver 🏔️ region, I blend my passion for AI and machine learning with a commitment to developing secure, innovative solutions.

My Journey

From a Staff AI/ML Engineer position with Lockheed Martin to innovative startups as the Head of Engineering at Vody, my career has been driven by a quest to push the boundaries of AI, specializing in multimodal domain adapted classification, embedding, and large language models. My recent venture into the world of Keeper Security marks a pivotal step in my journey, focusing on the fusion of AI with cybersecurity.

What I'm Up To

At Keeper Security, I'm steering the ship towards advanced threat analytics by implementing User Behavior Analytics and User Entity Behavior Analytics. These initiatives are crucial for enhancing the security posture, enabling proactive threat detection, and ensuring the safety of the digital ecosystems. My role also involves leveraging the power of AI to develop innovative solutions that address the evolving threat landscape and DevSecOps all while ensuring the ethical use of AI and machine learning.

Outside of Work

When I'm not immersed in technology, I indulge in culinary experiments 🧑‍🍳, strumming my guitar 🎸, or carving through the snow on my snowboard 🏂 and embracing the beauty of Denver's landscape.

Let's Connect

I'm always open to collaborating on projects that push the envelope in AI and cybersecurity. Let's explore how we can make the digital world a safer place together.

LinkedIn Badge Spotify Badge

🍌 Don't forget to get some Potassium 🍌

⚡️ A Few Quick Facts

  • 🇺🇸 US Army Combat Veteran
  • 🧐 Master of serverless architectures, web technologies, distributed systems, and a bit of ML.
  • 💬 Ping me about react, ai, security, devops, and cloud stuff.
  • 🔭 I’m currently exploring Multimodal AI.
  • 🏠 HomeLab Enthusiast (Truenas Scale, AMD EPYC 7313P, 192GB RAM, 1060Ti)
  • 📙 Check out my resume.
  • 🌟 "Я изучаю русский язык более 600 дней, и да, я все еще пытаюсь понять разницу между "ш" и "щ"."

✒️ Cool Things

Explore
  • State-of-the-art models on contemporary for 2D and 3D 3D perception
  • LAVIS is a Python deep learning library for LAnguage-and-VISion research and applications.
  • 📐 The 🤗 Open LLM Leaderboard aims to track, rank and evaluate open LLMs and chatbots.
  • Build PCBs faster with an AI teammate
  • UDOP is an exciting document AI model from Microsoft Research. It has an encoder-decoder architecture, hence it's a generative model. You can use the model for document image classification, document parsing and document visual question answering (DocVQA).

    • 🚀 Some Tools I Use

    huggingface pytorch javascript typescript react python java nextjs tailwindcss bootstrap css3 gulp .NET mongodb mysql redis nodejs spring nginx aws gcp Docker Kubernetes Go Rust

    📈 Stats

    jeremy-london

    jeremy-london

    Pinned

    1. offline-strength-estimation offline-strength-estimation Public

      Assessing password strength using advanced language models, featuring an interactive Streamlit demo.

      Jupyter Notebook 2

    2. solve-by-hand solve-by-hand Public

      Demystify AI concepts: hand-solved problems translated into code for clarity.

      Python 10 3

    3. jeremylondon.com jeremylondon.com Public

      Explore captivating insights on AI, tech trends, and engineering. Your gateway to curiosity awaits. Dive in!

      JavaScript 2