Reza Sayar
Data Engineer @Reducto
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WORK HISTORY
Data Engineer @Reducto
San Francisco, CA, US
Managed distributed team of annotators across multiple time zones for documentprocessing quality assurance.Designed and implemented a TypeScript MCP (Model Context Protocol) serverwrapping all core Reducto API endpoints, enabling agent-native documentintelligence across Claude Code, Cursor, Codex, Gemini CLI, and Cline.Created a fine-tuning pipeline generating ~30K verified training examples via consensus from multi-LLMs asJudge with 4-layer verification: schema validation, tool-hint checking, cross-model consensus, and live API re check.🤓Trained Qwen3.5-35B-A3B as a Reducto API specialist; explored 0.8B dense distillation for in-browser deployment, using HF Hub, Spaces and Unsloth.Designed Red-Y, an AI-powered annotation QA oracle using Label Studio OSS with multi-model consensus pipeline and CopilotKit integration.
EDUCATION
University of Victoria
Master of Arts - MA, Kinesiology and Exercise Science
Payaam Noor University
Bachelor's degree, English Translation
Shiraz University
Master's degree, Exercise Physiology
SKILLS
ABOUT REZA SAYAR
I have been acting as a Teaching and Research assistant during the past five years, linking physical activity with modern technologies and behavior modification theories to improve healthy behaviours, specifically among older adults.
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