# Riddhi More — AI Solutions Architect

> Riddhi More is an AI Solutions Architect in Toronto who builds secure, useful AI systems for enterprise workflows. Her work spans enterprise agents, retrieval-augmented generation, MCP integrations, multilingual NLP, efficient model training, and reliable evaluation.

This is a one-page professional portfolio. Current enterprise work and applied AI projects are emphasized before academic research. Claims described as résumé-reported or project-reported in the full portfolio should retain that attribution.

## Portfolio

- [Full portfolio in Markdown](https://riddhimore.com/index.md): Complete experience, education, process, projects, publications, skills, certifications, and contact information in a clean text format.
- [Visual portfolio](https://riddhimore.com/): Interactive public website and canonical source.

## Professional profiles

- [LinkedIn](https://www.linkedin.com/in/riddhi-more/): Professional profile and employment history.
- [GitHub](https://github.com/MsMore): Public code and project profile.

## Selected research sources

- [ALIGNFREEZE](https://arxiv.org/abs/2502.12959): NAACL 2025 paper on selective layer freezing during multilingual model realignment.
- [FlakyXbert](https://www.sqrlab.ca/publications/icst2025_flakyxbert/): ICST 2025 work comparing fine-tuning and few-shot learning for flaky test detection.
- [HumanEval_T](https://www.sqrlab.ca/publications/icst2025_humaneval_t/): ICST 2025 work addressing benchmark leakage with combinatorial test design.
- [Data augmentation bias](https://www.sqrlab.ca/publications/fairness2025/): FAIRNESS 2025 study of augmentation-induced evaluation bias.