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pretzelslab/README.md

Hi, I'm Preethi 👋

I build practical systems that help organizations adopt AI responsibly. My work spans enterprise AI, product development, governance, safety, and human centered AI adoption.

Currently Building

  • Enterprise AI Transformation OS
  • Human Capability, Institutional Adaptation, and Societal Evolution in the Age of AI
  • Enterprise AI safety and governance patterns
  • Open source tools for enterprise AI adoption

Featured Projects

Coming soon. I'm documenting and open sourcing the projects I'm actively building. This section will grow as repositories are published.

Why this GitHub?

I'm using this space to document ideas as they evolve into practical systems, open source tools, and reusable frameworks for enterprise AI. Wherever possible, I share not only the finished outcome, but also the thinking, tradeoffs, and lessons learned along the way.

Recent Writing

I regularly write about enterprise AI, governance, runtime safety, product development, and the evolving relationship between humans and AI. More articles and working papers will be linked here as they are published.

Connect

  • LinkedIn
  • Portfolio

Pinned Loading

  1. sa1-carbon-inference-router sa1-carbon-inference-router Public

    Carbon aware LLM routing framework balancing task complexity, grid carbon intensity, latency, accuracy, and carbon budgets.

    Python

  2. preetibuilds-33d6f6da preetibuilds-33d6f6da Public

    Personal portfolio showcasing applied AI, AI governance, safety, sustainability, research, and product experiments.

    TypeScript

  3. ai-bias-evaluation-framework ai-bias-evaluation-framework Public

    Evaluation framework for demographic invariance and safety response disparities in AI systems, with a focus on women's safety and gender based violence.

  4. ai-compliance-agent ai-compliance-agent Public

    Recurring AI fairness audits with LangGraph governance routing, escalation, and version controlled compliance evidence.

    Python

  5. se1-safety-eval se1-safety-eval Public

    LLM Safety Eval Framework for financial services — adversarial test suite, two-stage evaluator, regulatory mapping

    Python

  6. ai-safety-research ai-safety-research Public

    Applied AI safety research, evaluation frameworks, agent control experiments, fairness audits, and responsible AI implementation studies.

    Python