Cupertino, California, United States
Working in the Applied ML team at Snowflake. Graduated from Carnegie Mellon University as part of the MS in Computer Science ‘23 cohort. Completed my undergraduate in Electrical Engineering at IIT Madras with a minor in Computer Science as the topper of my department. I love problem-solving, computer science, and mathematics, and deeply passionate about Algorithms, Machine learning and Deep learning. I am interested in quantitative finance as well, enjoy challenges, and coming up with ingenious, innovative solutions. Last but not the least, coding is fun and I am fun loving.
Doing my part to bridge the real-world gaps in Gemini at deep research and long horizon tasks
• Worked on semantic SQL generation and routing in Cortex Analyst Text2SQL agentic system • Shipped AI Text Classify, which consistently fared within the top 2 revenue in 2023-2024
TA for course 10-605: Machine Learning for Large Datasets from the ML Department
Worked under Prof. Graham Neubig on building LLM agents and WebArena: A realistic and reproducible benchmark for web navigating agents, published in ICLR ‘24
Part of the Applied Machine Learning Team - • Researched on obtaining semantically meaningful row embeddings using deep models for heterogenous structured tables. • Proposed novel self-supervised pretraining of tabular transformers, with embeddings achieving SoTA performance on unsupervised anomaly detection.