Applied AI · Secure Software · Technology Consulting
ZJ Labs designs and builds AI-powered platforms, custom business software, and modern cloud and security systems—from research prototypes to dependable production workflows.
Selected work
Three projects show the same approach across different domains: understand the workflow, design the system around it, and strengthen what matters in production.
A browser-based platform for uploading underwater footage, running marine-life detection, and reviewing results without requiring researchers to operate the model pipeline directly.
A role-aware platform that brings service orders, vendors, customers, locations, documents, assets, and operational search into one coherent workflow.
A multi-system modernization effort focused on clearer identity boundaries, stronger access controls, manageable endpoints, resilient infrastructure, and evidence-ready operations.
Capabilities
ZJ Labs works across the full system when the problem demands it, without turning every engagement into unnecessary complexity.
Detection, tracking, segmentation, video analytics, research tooling, and production-minded inference workflows.
PyTorch, OpenCV, YOLO-family models, CUDA inference, annotation pipelines, and review tooling.
Web platforms, internal tools, operational systems, integrations, and AI-assisted processes built around real users.
Next.js, TypeScript, React, Node.js, APIs, databases, and workflow automation.
Identity, endpoints, hybrid cloud, access control, and evidence-ready operations across Windows and Linux environments.
Entra ID, Intune, Defender, Azure, Microsoft 365, Linux servers, Windows Server, networking, and hardening baselines.
Discovery, architecture, prototypes, modernization planning, documentation, and implementation leadership.
Architecture reviews, roadmaps, vendor evaluation, and hands-on implementation leadership.
Working approach
A simple delivery model keeps attention on the operational outcome while creating room for security and scale.
Clarify the operational problem, users, constraints, data, risks, and definition of a useful outcome.
Create the smallest useful system, validate the workflow with real users, and measure what changes.
Improve reliability, security, observability, documentation, and scale after the core value is proven.
Founder
Zachary Johnson leads ZJ Labs with experience spanning AI project leadership, full-stack product development, systems administration, and technical consulting. That range is most useful when a project crosses boundaries—and the handoffs are where complexity usually hides.
About ZachStart a conversation
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