Sequoia Capital Global Equities (SCGE) is a public/private crossover firm, with investments spanning from late-stage private companies to public companies. SCGE was founded in 2009 to expand Sequoia Capital’s technology investing efforts into the public markets and operates independently as a separate investment adviser under the Sequoia brand. SCGE focuses on concentrated, long-term investments in companies across the global technology, media, and telecommunications (TMT) sectors. While public companies comprise the majority of SCGE’s portfolio, the team also invests in companies in pre-IPO crossover rounds, including alongside Sequoia Capital. SCGE’s private portfolio includes emerging leaders in the United States, Brazil, China, India, Israel, Japan, and South Korea. As these private companies become public, SCGE often continues to be a long-term shareholder with additional investments at the IPO and beyond.

As part of the core ML team I researched, designed, implemented, and deployed language models (LLMs), as well as search and recommendation models. The most widely used model was deployed as part of Samsung Foods to over 500k active users.

Built and deployed infrastructure + AI models that fused structured clinical data with unstructured text data (via LLMs) to predict patients risk of deterioration or complications. Facilities using these models saw significant declines in adverse events.

Developed a platform that allows for repeatable, reproducible, and scalable pipelines that generate value from healthcare data. Developed AI/ML models to predict patient risk, while also modernizing internal tooling and processes, such as rebuilding legacy tools using Python and VueJS.

Led a team of data engineers for Surveyor Capital (part of Citadel), helping portfolio managers and desks generate value from alternative and exotic datasets.

As an early hire did everything, from building the AI/ML platform and models, to sales, to leading customer accounts and working with nurses/doctors to implement model predictions within their workflows.

First data scientist at Republic Wireless; built out the data science practice/platform from the ground up.

Worked with enterprise clients to develop and deploy AI/ML solutions for their business problems.