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Lamar Giggetts

Software Architect

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Lamar Giggetts

About Lamar Giggetts

Lamar Giggetts is a dynamic writer and educator who specializes in creative writing and literature. With a background in English literature, Lamar has dedicated his career to nurturing the next generation of writers through workshops and mentorship programs.

Achievements

  • Author of 10 acclaimed novels

  • Regular contributor to literary journals

  • Facilitator of community writing events

His commitment to fostering creativity in others is matched only by his own passion for writing, making him a beloved figure in the literary community.

Articles by Lamar Giggetts

ArticleBasketball Performance AI: Lightweight Video Analytics (with the Right Resources)A B2B playbook for basketball clubs, academies, leagues, and apps: build player/ball tracking, event tagging, and coach-ready insights with lightweight…ArticleWhy Pose Estimation Is the Next Fitness Feature Moat (B2B Guide + Resources)A resource-backed B2B playbook for fitness app owners, gyms, and training businesses: ship MediaPipe Pose form feedback (rep counting, scoring, coach reports)…ArticleOn-Device Photo Intelligence Engines (Privacy-First Clustering and Personalization) On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by…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…ArticleMonitoring, Logging, and Analytics for Vision SystemsModern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working…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.ArticleModern Full-Stack Architectures for Computer Vision Apps Learn how to build scalable computer vision apps with React, AWS, and MongoDB—covering pipelines, serverless, microservices, and best practices.ArticleServerless Workflows and APIs for Computer Vision On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by…ArticleArchitecting Ultra-Realistic 3D Avatars with React, MongoDB, and AWS This blog explains how to turn a single photo into a realistic, animatable 3D avatar using SMPL-X and PIFuHD models. It outlines a full-stack pipeline with…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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