Pratima Rao

• Developed and deployed advanced ML and DL models across diverse sectors including Finance, Healthcare, and Speech Technology.
• Built and maintained large-scale ML systems on AWS, with 2 years of experience designing tailored RAG architectures and integrating LLMs, vector databases and agents into production workflows.
• Implemented end-to-end ML pipelines with CI/CD automation, monitoring, and model maintenance.
• Led cross-functional teams of engineers, overseeing project planning, delivery, and stakeholder communication to drive impactful AI initiatives.

Worked with the Search team to build an ML model to predict popularity of new releases. This was scaled and launched to 80 million users as parts of an A/B test.

Thesis topic: Topic Modelling for Short, Descriptive texts. Used different NLP models to solve the problem of topic generation for podcast descriptions.

Mentee as part of Spotify Amplified Mentorship Program

Thesis topic: ‘Complexity Analysis of Popular Music’ Extracted features from songs using the MIR Toolbox in MATLAB, and applied Pattern Recognition and Machine Learning techniques on features to study trends in complexity

Developed a customer classification model for a telecom client using R

‘Representation Theory of Finite Groups’ with closing presentation on Steinberg Representation

Studied the efficacy of health initiatives targeted at reducing malnourishment among children & women

Courses: ML, AI, DL, Time series Analysis, Speech Technology, Search Engines and Information Retrieval Systems

GPA of 9.21/10.0

Courses: Elements of Probability and Statistics, Linear Algebra, Graph Theory and Algorithms, Game Theory

Completed advanced course in Fine Arts

Attended Summer School on Neuroimaging

Volunteer at Music Cognition Symposium