Insights · Author

Shawn Wilborne

AI Builder

Shawn Wilborne

Articles by Shawn Wilborne

ArticleBuilding a Secure Expungement Automation Tool with Lid Vizion: OCR, Rules, Form Fill, and Secure StorageHow to ship an auditable expungement automation pipeline fast using Lid Vizion’s pre-built platform components: identity, event logging, rules, integrations,…ArticleEfficient Data Retrieval from Images: Using LlamaIndex, Mongo, and AWS This blog explains how image-centric RAG improves search accuracy by indexing image embeddings directly instead of relying on captions. Using CLIP or VoyageAI…ArticleDesigning a Multi-Model Inference Routing System for Vision + LLM Workloads This blog explains how modern AI applications can intelligently route tasks across multiple models such as sending images to YOLOv8 and text to LLMs like GPT…ArticleActive Learning and Data Labeling Workflow for Computer Vision (From Pilot to Production)Computer vision systems improve when you make labeling and retraining a routine, not a special event. Active learning is a set of tactics to label theArticleMulti Tenant AI SaaS Architecture on AWS and MongoDB (A Practical Guide)If you are turning an AI workflow into a SaaS product, the hardest parts are usually tenancy, security, and operations. This post outlines a practical multi…ArticleAudit Logging and Provenance for AI Workflows (AWS and MongoDB Patterns)If an AI system affects legal, financial, or compliance outcomes, you need to answer: what happened, when, why, and who approved it. This post outlines audit…ArticleCost Optimization for AI Document Pipelines on AWS (A Playbook)AI document pipelines can get expensive fast if they are built like prototypes. This post covers practical levers to reduce cost without sacrificing…ArticleHuman in the Loop Document Review UI (Architecture on AWS and MongoDB)Fully automated document extraction is rare in real operations. The difference between a pilot and a production system is usually a clean human in the loop…ArticleEdge Computer Vision on Jetson with ONNX and TensorRT, Managed by AWS IoTEdge deployment is often the right choice when bandwidth is limited, latency must be very low, or data cannot leave a site. This post outlines a practical…ArticleAWS Kinesis Video Streams and Real Time Computer Vision Architecture (What to Build First)Real time computer vision projects often fail for non ML reasons: stream reliability, buffering, latency, and alert routing. This post outlines a praArticleAWS Step Functions Patterns for Reliable Document Automation (Retries, Idempotency, and Audits)Document automation is a long running workflow: ingest, OCR, validate, route, and generate outputs. AWS Step Functions is a strong orchestrationArticleMongoDB Atlas Vector Search RAG for Document Workflows on AWS (A Practical Blueprint)Retrieval augmented generation (RAG) is most valuable when it is attached to a real workflow: intake, search, extraction, and decision support. This postArticleAWS Textract vs Open Source OCR for Production Doc AI (Accuracy, Cost, and Architecture)Who this is for If you are building document automation that has to work in production, not just in a notebook, this guide compares AWS Textract with lArticleMonitoring, Logging, and Analytics for Vision SystemsModern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working…ArticleAI-Enhanced Apps with React and AWS for VisionLearn how to use and train the three new state-of-the-art RF-DETR object detection model sizes.ArticleFrom Pixels to People: The Evolution of 3D Avatars from Research Labs to Your BrowserLearn how to use and train the three new state-of-the-art RF-DETR object detection model sizes.ArticleScalable MongoDB Design for Vision Metadata Learn MongoDB schema patterns, sharding, and vector storage strategies to manage large-scale computer vision metadata cost-effectively.ArticleReal-Time Computer Vision Data and Event-Driven SystemsLearn how to build real-time computer vision systems with event-driven pipelines, WebSockets, MongoDB change streams, and live annotation tools.ArticleDevOps and Deployment Pipelines for CV Applications This blog outlines how to build a DevOps CI/CD pipeline for deploying computer vision (CV) models using GitHub Actions and AWS. It walks through every…ArticleFile and Media Management in Vision Workflows Learn key SEO expert interview questions to assess skills, strategy, and tools for hiring the right candidate.ArticleReal-Time Sports Analytics: From Pickleball Ball Tracking to Scalable CV PipelinesModern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working…ArticleMulti-Agent Orchestration for Vision Systems (LangChain + AWS)Modern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working…ArticleIntroduction: Semantic Video Retrieval and RAG This blog explains how Retrieval-Augmented Generation (RAG) can transform traditional video search by enabling users to query massive video libraries through…

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