Experience

• 

  Disco

  • San Francisco Bay Area

  • Machine Learning Engineer

    • May 2022 - Present
    • San Francisco Bay Area

    • Led the development of a recommendation model at the product level, utilizing lightFM. Engineered end-to-end ML pipelines on AWS SageMaker, facilitating seamless data extraction, feature engineering, model deployment, and daily re-training. Achieved an impressive 8% enhancement in Mean Average Precision (MAP) and substantially reduced inference latency through a redesigned nearest neighbor search (NNS) module.• Led the development of a data pipeline aimed at facilitating the training of machine learning models. This initiative not only involved transitioning our data infrastructure from Redshift to Snowflake but also entailed optimizing SQL queries for enhanced efficiency and scalability. • Initiated pioneering research to implement a Transformer-based recommendation model utilizing BERT4Rec in PyTorch, leading to a 7% increase in conversion rates and a 10% boost in revenue upon deployment. • Enhanced the core recommendation model by integrating contextual information including item-wise conversion, user click/purchase histories, and demographic segmentation, resulting in a notable 10% improvement in the top 1 hit ratio. • Handled diverse responsibilities including ML research, development, and deployment. Managed ML pipelines, led AB test experiments, and collaborated with stakeholders to drive innovation.

• 

  Vibrant Wellness

  • United States

  • Data Analyst

    • Mar 2022 - May 2022
    • United States

    • Conducted data collection and analysis to uphold laboratory protocol and refine procedures as needed.• Applied statistical analysis to monitor laboratory workflow, guaranteeing compliance with quality protocols and facilitating process optimization.