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I led model alignment and evaluation for Russian voice synthesis models at micro1, closing gaps in phonetic grounding and prosodic naturalness by converting human evaluations into engineering-ready data pipelines.
Key Architectural Results:
• Audited 1,000+ multimodal data samples, cutting output inconsistencies by 18%.
• Engineered a structured error taxonomy for phonetic features and pitch contours.
• Integrated HITL validation into sprint cycles, reducing model training latency.
• Standardized rubrics to optimize production-facing alignment.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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