Columbia University

Research Assistant at Columbia University in the City of New York

- First employee. Built all music technology components of prototype that led to seed funding.
- Built infrastructure for machine learning development.
- Research and deploy top performing Music Information Retrieval (MIR) models.
- Design sounds and musical characteristics of key product features.

Hook

Director of Music Technology / ML Engineer

- Train various large language models to answer domain specific questions about environmental social groups
- Build out generalized training and diagnostics pipeline for Information Retrieval to optimize testing on new models and new domains

Anvai

AI/ML Consultant 

- Assisted the Blei lab at Columbia, focusing on probabilistic machine learning algorithms relating to networks.
- Developed models to identify nodes whose actions influence their neighbors in the network.
- Tackled the problem of separating out influence from homophily, the tendency of neighbors in the network to share similar preferences and thus similar behavior.
- Implemented network embeddings methods to model these latent shared preferences.

Columbia University in the City of New York

Research Assistant

- Created object detector with two components, FRCNN and Alexnet classifier, to quickly detect a large set of beverages.
- Performed data collection, data cleaning, model development, training, parameter tuning, and evaluation using Tensorflow.
- Simulated environment for robotic grasping in V-REP based on http://vpg.cs.princeton.edu/paper.pdf.

Telexistence Inc

Research Intern

- Developed tool to easily clean and label data.
- Implemented Pytorch deep learning algorithms to identify lane lines in images of roads.
- Earned 2018 Gradient Ventures rising stars in machine learning award for work.

Srivatsav Pyda