Exploring the intersection of high performance computing, modern C++, computer vision, and storage systems. Deep technical insights into building performant software systems, optimizing databases, and implementing efficient computer vision algorithms.
Strategic technology insights with in-depth analysis of emerging trends in AI infrastructure, Search, and distributed systems.
Distinguished engineer with 10+ years building Search, SIEM, Observability, and AI technologies at scale.
I’ve led teams of 75+ engineers at AWS, Oracle Cloud Infrastructure, and DataStax, shipping products that process petabytes of data daily in real-time. Author of patents in distributed systems and storage technologies. Currently serving as OpenSearch Leadership Committee Member, driving technical strategy for the OpenSearch project.
Closed Forms and Synthetic Twins: Predicting Approximate Nearest Neighbor Recall from Embedding Statistics
Samuel Herman · arXiv:2609.00364 · cs.IR · August 2026 · Paper page · arXiv · PDF
Multivector and Dataset Geometry
Database as Innovator: The Economics of Late Interaction
Embedding Adaptation for Domain-Specific Search
Concurrent Vector Graph Construction in OpenSearch
Does Product Quantization Deliver on Its Promises?
GPU Performance Analysis for KNN Search
OpenSearchCon 2026 (Prague) - From Embeddings To Index: A Practitioner’s Guide To Domain-Adapted Neural Search

OpenSearchCon 2025 - Vector Search Beyond The Hype - OpenSearch and Vector Databases

OpenSearchCon 2024 - Lucene And Beyond - Core Storage Extension In OpenSearch

OpenSearchCon 2023 - Journey To 750 Node Clusters

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