Open to opportunities

Yuming Dai

@yumingdai

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Senior Machine Learning Engineer specializing in agentic AI, production ML systems, and generative models.

United States

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What I'm looking for

I seek roles building production agentic AI and scalable ML infrastructure, with strong MLOps, cross-functional leadership, and opportunities to translate research into product impact.

I am a Senior Machine Learning Engineer and AI researcher with 8+ years building and deploying agentic AI systems, LLM-driven platforms, and full-stack ML solutions that moved research into production for large-scale products. I have delivered autonomous retail kiosks, conversational and generative agents, and performant ML infrastructure that reduced human intervention, improved throughput, and drove measurable business impact.

I excel at leading cross-functional teams, establishing MLOps and governance, and optimizing models and pipelines for real-time, edge, and cloud deployments. My work spans multimodal perception, reinforcement-style decision systems, LLM fine-tuning, and CI/CD-driven model lifecycles, consistently translating innovation into reliable, scalable products.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Mashgin

Nov 2024 - Present (1 year 7 months)

Designed and deployed an on-device autonomous agent framework for self-checkout kiosks that reduced exceptional human intervention by >95% and enabled sub-500 ms end-to-payment latency with 99.99% item identification accuracy at scale.

Reinforcement Learning PyTorch Kubernetes MLOps Model Monitoring Microservices

Machine Learning Engineer

EliseAI

Oct 2023 - Oct 2024 (1 year)

Built a production-scale autonomous conversational agent platform for housing and healthcare verticals that reduced human touchpoints, improved lead-to-leasing conversion, and launched self-guided tour and booking agents operating end-to-end.

Python Microservices MLOps A B Testing

AI Researcher

Grammarly

Oct 2020 - Oct 2023 (3 years)

Led development of deep-learning models and generative features for writing assistance, improving error-detection accuracy by double-digit percentage points and enabling real-time, low-latency suggestions across products.

NLP Transformer Models Python Research

Machine Learning Engineer

Lily AI

Sep 2017 - Sep 2020 (3 years)

Architected and deployed a production product-attribute extraction platform that increased catalog attribute depth, reduced time-to-market for new catalog ingestion by >50%, and improved personalization and conversion for retail clients.

Computer Vision Deep Learning Python Docker Kubernetes React MLOps