Yushi Sun Senior Machine Learning Engineer at Nooks

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Senior Machine Learning Engineer

Nooks

Oct 2022 - Current (3 years 9 months)

As a Senior Machine Learning Engineer, I developed AI applications for sales assistants and cold call automation from scratch. I built end-to-end ML pipelines for real-time call summaries, anomaly detection, and playbook recommendations, integrating AI outputs into Salesforce and live dashboards. Additionally, I utilized PostgreSQL to store all conversation history and customer data, ensuring that our models had access to comprehensive datasets for training and evaluation, which enhanced the overall performance and reliability of our machine learning solutions. My expertise in data engineering and performance tuning further optimized the efficiency of our systems, while CI/CD practices ensured smooth deployment and integration of new featur
Software Engineer

Airbnb

Jan 2019 - Aug 2022 (3 years 8 months)

- Improved Airbnb’s search ranking system by integrating personalization signals such as booking history, location context, and guest intent using Kafka, Airflow, and Spark. - Collaborated with data scientists to deploy a LightGBM-based relevance model trained on historical booking signals, integrating model outputs into the ranking pipeline via a real-time scoring service on Kubernetes. - Utilized PostgreSQL on AWS RDS to efficiently store and manage large-scale home listings and user review data, ensuring data integrity and accessibility for analysis and model training.
U

Software Engineer Intern

Uber Advanced Technologies Group

May 2018 - Aug 2018 (4 months)

Implemented custom TensorFlow operations to experiment with interpolation and pooling methods, improving input continuity for CNN models. Rebuilt the model evaluation and visualization stack using Spark and OpenCV, reducing pipeline runtime from 60 to 10 minutes and improving training plot performance by 10x.

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Yushi Sun

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