I'm a generalist ML Engineer working at NVIDIA to help our GPU users push the envelope for their AI and ML applications. I work the whole ML stack, from the system level to optimizing feature pipelines for model serving.
Previously, I was at LinkedIn working on improving search for the recruiter product. In my free time, you can catch me doing loops of Cañada Road on my bicycle or running up and down the Bay Trail in Sunnyvale.
Feature engineering from search queries and applying them to rank results in Recruiter Search.
Built and integrated feature quality monitoring pipelines. Trained and deployed XGBoost and TensorFlow models with various architectures. Write about your core competencies in one or two sentences describing your position. If you held the position for a long time, it could be a longer section, including a couple bullet points
Feature engineering from search queries and applying them to rank results in Recruiter Search.
Built and integrated feature quality monitoring pipelines. Trained and deployed XGBoost and TensorFlow models with various architectures. Write about your core competencies in one or two sentences describing your position. If you held the position for a long time, it could be a longer section, including a couple bullet points
Develop methodology to identify supply-demand gaps in LinkedIn’s various marketplaces.
Generate and drive product recommendations based on identified market mismatch and user behavior.
Applying Active Learning and Hierarchical Clustering to meld retailer data from multiple sources. Building a forecasting model and recommendation engine for businesses to optimize purchase quantities. Improved matching accuracy by 35% and reduced running time by 80%
Asha for Education is a fully volunteer-run 501(c)(3) non-profit with 50+ chapters around the world whose mission is to catalyze socio-economic change in India through the education of underprivileged children.