# Vibhu Jawa > Accelerating machine learning @Nvidia | LLM data curation , inference. Location: San Francisco, California, United States Profile: https://flows.cv/vibhu 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. Expertise includes optimizing terabyte-scale data curation for foundation model training, model inference ## Work Experience ### Senior Software Engineer (Machine Learning/Data Science) @ NVIDIA Jan 2021 – Present Work to enable large language models, graph neural networks, machine learning and data engineering at scale with GPUS ### Software Engineer (Machine Learning/Data Science) @ NVIDIA Jan 2019 – Jan 2021 | San Francisco Bay Area Work on RAPIDS at NVIDIA accelerating data processing and machine learning using GPUs at scale. ### Machine Learning Researcher @ The Johns Hopkins University Jan 2018 – Jan 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. ### Course Assistant @ The Johns Hopkins University Jan 2018 – Jan 2018 | Baltimore, Maryland Area Course assistant for Machine Learning (601.675) Course assistant for Deep Learning (601.682) ### Research Assistant, Centre for Language and Speech Processing @ The Johns Hopkins University Jan 2018 – Jan 2018 | Baltimore, Maryland Area • Worked on a natural language processing library (Falconet) to track Public Health Trends from Twitter Messages ### Software Engineer @ Expedia Group Jan 2018 – Jan 2018 | San Francisco, California • Stitched and analysed 2 million+ customer sessions in android application ‘Hotwire’ • Modelled customer flows for different segments of customers using markov chains • Provided actionable feature improvements to product analytics and development teams for a smoother customer journey • Clustered customers using recursive hierarchical clustering based on their click flow ### Software Engineer @ Citi Jan 2016 – Jan 2017 | Pune, Maharashtra, India - Responsible for end to end design and automation of cloud migration process using distribution configuration management tool “Chef”. - Cut down the environment delivery time for an application from 120 days to less than 20 days. - Successfully migrated 8 applications and 56 servers through automation. - Provided capabilities of on-demand dynamic provisioning, de-provisioning of infrastructure. - Responsible for end to end design and implementation of the environment comparison utility written in Python to ensure consistency across environments. - Identified alternative ETL tools to the existing software being used across markets security and services technology by understanding the flow of data across teams and identification of migration costs, challenges, and alternatives. Expanded the project scope by bringing in 4 more well-researched alternatives to the table. - Hugely appreciated by the technology leadership in the company and is being referred by application managers for finding efficiencies. ### Head of Project @ Enactus DTU Jan 2012 – Jan 2016 - Set-up a self-sustainable community water purification plant for a slum in Pitampura, Delhi - 300+ people given access to clean drinking water at a cost less than 0.50 dollars per month - Empowered self-help groups of 4+ women to improve health conditions in slums - 60,000+ impacted directly through health camps, awareness campaigns, and other initiatives ### Software Engineer @ Cvent Jan 2015 – Jan 2015 | Gurgaon, India - Designed a Content Management System for Managing Multi Media Content across multiple displays. - Server Side Scripting done in Ruby on Rails. - Client Side Scripting done in React-Js. - Functionality for real-time update of content across clients using web sockets and user-specific custom permission levels. - Tested and deployed the application successfully on company server for usage across departments ## Education ### Master of Science - MS in Computer Science The Johns Hopkins University Jan 2017 – Jan 2019 ### Bachelor of Technology (BTech) in Mathematics and Computer Science Delhi College of Engineering Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/jawavibhu --- Source: https://flows.cv/vibhu JSON Resume: https://flows.cv/vibhu/resume.json Last updated: 2026-03-22