about giggit

Applied AI, Put to Work.

AI systems, model evaluation and measurement tools for research, operations and business decisions.

What You Can Explore

Working demos, evaluation results and implementation notes show how each system behaves and where its limits are.

AI SystemsResearch and operational workflows with source checks and approval steps.
Model EvaluationTask-level comparisons of accuracy, speed and cost, followed by checks after deployment.
Measurement SystemsRisk scoring, customer analysis and ranking models with documented evaluation.

Explore the work →

How the Systems Are Built Architecture, deployment and evaluation
Built with Claude Codeagent in GitHub Actions Anthropic APIClaude models AWSLambda · S3 · Bedrock GitHub Actionstests · deploys · checks Vercelsite and functions Postgreson Neon

Implementation

From repository to production

1 · GitHub
  • Automated tests and proposed changes
  • Human review before merge
2 · Deploy
  • Vercel for the site and functions
  • AWS Lambda and S3 for models
3 · Model Calls
  • Anthropic API and AWS Bedrock
  • Token use and cost recorded
4 · Data
  • Read-only tools and SQL allow-lists
  • Citation checks on research answers
5 · Checks

Contributors

Project-based collaboration

The Bench

Senior Engineers

Experience at Amazon, Oracle and HubSpot. Contributors to scoped builds, technical reviews and production hardening.

Industry Specialists

Domain expertise for research, workflow design and review, brought in where the project needs it.

Alpha Nyarera · Project Lead

Applied AI & Machine Learning

HubSpot · EY · Capital Group

University of Chicago · MSc, Applied Data Science
Williams College · BA, Economics

LinkedIn →