Empowering enterprises with reliable AI deployment and model improvement. AI agents hit 99% accuracy
- Developed request augmentation techniques to synthesize high-quality data, expanding semantic coverage and boosting the accuracy and generalization of fine-tuned models
- Improved evaluation methods through multi-stage analysis and correction, detecting faults in model output with 94% accuracy, enhancing datasets and driving measurable improvements in downstream model performance
- Diagnosed and rectified a critical evaluation bug, significantly enhancing the quality of fine-tuned models by ensuring accurate data alignment and interpretation
- Designed and implemented system prompt substitution, granting users greater control over generated responses and enabling dynamic prompt engineering for improved customization and adaptability
- Identified and resolved a caching bug, contributing to SOC 2 compliance by ensuring data consistency and security
- Architected and shipped a CLI tool enabling seamless agent importing onto the Maitai platform, letting developers onboard and deploy existing AI agents in a single command and dramatically reducing integration friction
- Designed the CLI's schema-driven import pipeline to automatically detect, validate, and map agent configurations into Maitai's runtime, eliminating manual setup and accelerating time-to-deployment for enterprise customers
- Stay tuned for more...





