I make things go faster on GPUS at scale. Working on the NeMo Curator, NV-Ingest, https://rapids.ai/ for Nvidia AI. Experienced with accelerating Distributed Computing, Data Science, Graph Neural Networks, Large Language Models.

2021 — NowNVIDIASenior Software Engineer (Machine Learning/Data Science)

2021 — Now

Work to enable large language models, graph neural networks, machine learning and data engineering at scale with GPUS

2019 — 2021NVIDIASoftware Engineer (Machine Learning/Data Science)

2019 — 2021

San Francisco Bay Area

Work on RAPIDS at NVIDIA accelerating data processing and machine learning using GPUs at scale.

2018 — 2019The Johns Hopkins UniversityMachine Learning Researcher

2018 — 2019

Baltimore, Maryland Area

Developed on a novel feature selection method using temporal patterns from electronic health records to predict mortality

Developing a machine learning framework to predict treatment success using clinical data.

2018 — 2018The Johns Hopkins UniversityCourse Assistant

2018 — 2018

Baltimore, Maryland Area

Course assistant for Machine Learning (601.675)

Course assistant for Deep Learning (601.682)

2018 — 2018The Johns Hopkins UniversityResearch Assistant, Centre for Language and Speech Processing

2018 — 2018

Baltimore, Maryland Area

Worked on a natural language processing library (Falconet) to track Public Health Trends from Twitter Messages

Education

2017 — 2019

The Johns Hopkins University

Master of Science - MS

2017 — 2019

2012 — 2016

Delhi College of Engineering

Bachelor of Technology (BTech)

2012 — 2016

Experience+

Education

Master of Science - MS

Bachelor of Technology (BTech)