Dockerising Unbound DNS
Creating a small docker container for an updated unbound.
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Owen Elliott
Solutions Architect & ML Engineer specializing in Information Retrieval
I am a solutions architect with experience building AI-powered systems that solve complex real-world problems. I have a diverse background ranging from simulation engines for mining operations to creating real-time multimodal personalization systems that serve millions of users daily.
Currently, my focus is in information retrieval and vector search technologies. At Marqo, I built scalable multimodal search systems that power major eCommerce platforms, combining cutting-edge research in dense retrieval and multimodal representation learning with production-grade engineering. I actively contribute to the field through research on approximate nearest neighbor algorithms and vector search implementation.
On this site you will find some of my articles, projects, and papers!
Latest Articles:
Rethinking Vector Search Experiences
Demonstrating UI components to deliver interesting vector search experiences.
Introspection Utilities in Python
Designing a library of introspection utilities in Python.
Recent Papers:
Featured Projects:
Ingrain Inference Server
A high performance scalable wrapper around NVIDIA Triton to serve Timm, OpenCLIP and Sentence Transformers models
HNSWLib Server
A zero dependency statically linked Vector Search Engine built with HNSWLib, it supports filtering on schemaless metadata via its own DSL.
Arcache: Threadsafe Caches in Rust with a shared Trait
A number of caching algorithm implementations written in rust using inner mutability for thread safety. Most interestingly they use the same trait as a base making them modular.