{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Senior Software Engineer","company":"Google DeepMind","location":"San Francisco, CA","range":"September 2023 - Present","url":"https://deepmind.google/"},"html":"<ul>\n<li>Build orchestration infrastructure for long-running agents and tool-calling, connecting LLM reasoning to external tool execution</li>\n<li>Drive quality and evaluation efforts for agentic planning and browsing agents, including tree-search based navigation for long-horizon tasks</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Software Engineer, Snowflake AI","company":"Snowflake","location":"San Mateo, CA","range":"May - August 2023","url":"https://www.snowflake.com/"},"html":"<ul>\n<li>Worked on large-scale embedding generation and dense retrieval systems for enterprise AI</li>\n<li>Contributed to the Snowflake Core Copilot, focusing on model fine-tuning for SQL generation and code-centric tasks</li>\n<li>Advised on dense retrieval techniques for vector database systems following Snowflake's acquisition of Neeva</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Associate Computational Biologist","company":"Acrobat Genomics","location":"Remote","range":"March - July 2023","url":"https://www.acrobatgenomics.com/"},"html":"<ul>\n<li>Derived mathematical parameters and managed configurations for an AI generative model used in a protein engineering platform</li>\n<li>Contributed part-time alongside full-time engineering work</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Software Engineer, ML & Search Ranking","company":"Neeva","location":"Mountain View, CA","range":"December 2019 - May 2023","url":"https://en.wikipedia.org/wiki/Neeva"},"html":"<ul>\n<li>Fine-tuned large language models and served them in production to improve the retrieval and ranking quality of the search results page</li>\n<li>Architected and built the dense retrieval system from scratch, from design through integration into core search infrastructure</li>\n<li>Worked as an early member of the team to personalize users' preferred results on both the home page and the search results page</li>\n<li>Improved the index selection's quality and efficiency in the core information retrieval system</li>\n<li>Boosted local search quality by a significant amount by improving query understanding and results ranking</li>\n<li>Integrated several third-party APIs into the product and designed an automated user-interest content generator, widely used among users</li>\n<li>Mentored an intern and several new grads, and provided early-career advice</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Applied Data Science & ML (NLP) Intern","company":"SAP","location":"Palo Alto, CA","range":"Summer 2018","url":"https://www.sap.com/products/artificial-intelligence.html"},"html":"<ul>\n<li>Worked with the Recast.AI (SAP Conversational AI) group</li>\n<li>Improved the existing sentence clustering algorithms for the chatbot the team was building</li>\n</ul>"}}]}}}