At Webster Inc, I managed and audited a multi-language dataset, refining annotation guidelines to improve a voice assistant’s intent classification accuracy.
I also investigated model failures, addressing data leakage and labeling inconsistencies, and collaborated with NLP Engineers on linguistic features for a regional market.
At AlphaAI company, I developed and optimized a machine learning inference pipeline using Python and Pandas to improve predictive accuracy and user targeting efficiency.
I also coordinated data quality audits and validation checks, and monitored model drift and anomalies. My background combines data and statistical analysis with linguistics.
