AI Product Architecture & Technical Roadmap SprintJack Holowczak
Before committing significant engineering resources to a build, ensure your AI concept is scalable, secure, and technically viable. Drawing on my experience as a Principal Architect for platforms like VERIUL and CURTAE, I will deliver a shovel-ready technical roadmap for your venture.
This blueprint involves defining the optimal architecture using Python and GCP , determining the right AI strategy (e.g., fine-tuning LLMs vs. deploying Large Vision Models) , and architecting a "Zero-Trust" environment suitable for enterprise deployment.
What's included
Technical Architecture Document & Tech Stack Definition
A comprehensive document defining the optimal technology stack (e.g., Python, GCP, React) and high-level system architecture for your AI application, ensuring scalability and performance.
AI Strategy & Model Selection Rationale
A strategic analysis selecting the best-fit AI approach for your use case, recommending specific LLMs or Large Vision Models and outlining the data requirements for fine-tuning.
"Zero-Trust" Security & Compliance Blueprint
An architectural plan for securing your application, including data encryption standards, user authentication flows, and compliance considerations for enterprise deployment.
Phased Build Roadmap & Resource Estimates
A sequential project plan outlining the development phases (MVP to V1), including estimated timelines and the required engineering roles and resources for execution.
AI Product Architecture & Technical Roadmap SprintJack Holowczak
Before committing significant engineering resources to a build, ensure your AI concept is scalable, secure, and technically viable. Drawing on my experience as a Principal Architect for platforms like VERIUL and CURTAE, I will deliver a shovel-ready technical roadmap for your venture.
This blueprint involves defining the optimal architecture using Python and GCP , determining the right AI strategy (e.g., fine-tuning LLMs vs. deploying Large Vision Models) , and architecting a "Zero-Trust" environment suitable for enterprise deployment.
What's included
Technical Architecture Document & Tech Stack Definition
A comprehensive document defining the optimal technology stack (e.g., Python, GCP, React) and high-level system architecture for your AI application, ensuring scalability and performance.
AI Strategy & Model Selection Rationale
A strategic analysis selecting the best-fit AI approach for your use case, recommending specific LLMs or Large Vision Models and outlining the data requirements for fine-tuning.
"Zero-Trust" Security & Compliance Blueprint
An architectural plan for securing your application, including data encryption standards, user authentication flows, and compliance considerations for enterprise deployment.
Phased Build Roadmap & Resource Estimates
A sequential project plan outlining the development phases (MVP to V1), including estimated timelines and the required engineering roles and resources for execution.
$7,500