Resume

M.S. in Computer Science & Engineering

University of California, San Diego, United States

• GPA: 3.922/4.0
• Advised by Rose Yu [ Thesis ]
• Key Courses: Deep RL, Unsupervised Learning, Program Synthesis

B.Tech. in Computer Science & Engineering

Indian Institute of Technology, Delhi, india

• GPA: 9.043/10
• Advised by Mausam and Rahul Garg
• Key Courses: NLP, DL, ML, AI

Applied Scientist II

Microsoft (MSAI), Redmond, Washington, United States

• Buliding large language models at Microsoft
• I also develop chat LLMs for many interesting enterprise use cases
• Part of the development team of Phi-3 small

Applied Science Intern

Microsoft (Turing), Bellevue, Washington, United States

• Worked with world’s largest language model [Megatron-Turing NLG]
• Developed dialog systems handling long term multi-session context

Senior Data Scientist

Bidgely, Bengaluru, Karnataka, India

• Developed industry leading products with causal inference and SoTA ML
• Technical mentor to 2 data scientists and 2 summer interns
• Tech Lead: Hybrid Recommender System, PySpark migration, MATLAB to Python migration

Data Science Intern

Bidgely, Mountain View, California, United States

• Developed lighting detection and estimation for AMI energy data
• The work was completed in 8 weeks and patented. [Patent]

Teaching Assistant

• CSE 132A: Database System Principles | Victor Dan Vianu | UCSD

Teaching Assistant

• CSE 291B: Deep Generative Models | Rose Yu | UCSD

Teaching Assistant

• CSE 151B: Deep Learning | Rose Yu | UCSD

Teaching Assistant

• CSE 132A: Database System Principles | Victor Dan Vianu | UCSD