Projects
Real engineering projects focused on architecture clarity, production tradeoffs, and practical delivery across AI workflows and AWS infrastructure.
Featured Work
In Progress
Learning assistant that retrieves trusted context and responds with references and confidence signals.
Outcome: Reduced unsupported answers by introducing retrieval checks and response grounding.
In Progress
Agent system for topic decomposition, tool execution, and evidence-based synthesis.
Outcome: Improved consistency in research output quality through structured planning and validation.
Planned
Developer assistant focused on private codebases and policy-aware suggestions.
Outcome: Creates a path for AI-assisted development in restricted environments.
Shipped
Evaluation framework that compares prompts, models, and retrieval configurations.
Outcome: Faster architecture decisions with objective quality and cost signals.
In Progress
A set of practical infrastructure patterns for shipping AI features quickly and safely.
Outcome: Reusable templates that reduce setup time for new AI initiatives.
Pipeline