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  • Staff Machine Learning Scientist - Ads
  • Staff Machine Learning Engineer - Multimodality

    Led development of a multimodal, agentic, vision-based information retrieval system enabling natural language QA across text, images, tables, charts, equations, video, and audio.

  • Staff Machine Learning Engineer

    Led applied research on LLMs and information retrieval for e-commerce to improve merchant interactions with Shopify Support.

    • Senior Machine Learning Engineer II
      Jan 2021 - Dec 2023

      Most senior IC MLE; led LLM fine-tuning and deployment, built an anomaly detection system monitoring 1M+ signals daily, and shipped HubSpot’s first customer-facing forecasting model.

    • Senior Machine Learning Engineer I
      Jan 2018 - Dec 2020

      Built large-scale search, recommendation, and QA systems, reducing operational costs by $200K annually and decreasing search latency by ~60%.

    • Machine Learning Engineer
      Jan 2017 - Dec 2017

      Founding member of HubSpot’s AI group; built an autoencoder-based anomaly detection system for email abuse and a lead scoring model that improved recall@k by 30%.

  • Software Engineering Intern

    Built full-stack features using Java 8 RESTful services, Angular, and Backbone for Onshape’s cloud-based 3D CAD platform.

  • R&D Software Engineering Intern

    Implemented RPC functionality using Apache Thrift in C++ to enable networked data exchange across NI-RIO devices.

  • Lighting Research Center: Undergraduate Researcher

    Designed and built a high-frequency driver for laser modulation in a solid-state waveguide system for visible light free-space optical communication.

  • Software Engineering Intern

    Built a client-side performance measurement tool and wrote automation scripts in C to performance-test Monster’s job websites.

  • Teaching Assistant

    Taught fundamental mathematical concepts (addition to integration) to children of all ages.