# Srikant Veeraraghavan

> Machine Learning at LinkedIn

Location: United States, United States
Profile: https://flows.cv/srikant

Keywords in reverse chronological order: Spark/Scala, REST APIs, Time series forecasting, Learning to rank, Semidefinite programming, Quantum chemistry

## Work Experience
### Staff Software Engineer - Machine Learning @ LinkedIn
Jan 2017 – Present
Using AI to build valuable products for LinkedIn's Premium members
- Led a revamp of LinkedIn Premium's Job Recommendation module called Top Applicant Jobs using Multitask Learning and Graph Neural Networks which has led to tens of millions of dollars in additional revenue so far
- Leading a revamp of the Notifications experience for Premium members to deliver value

### Data Scientist II @ Expedia, Inc.
Jan 2016 – Jan 2017 | Greater Chicago Area
• Leading the data science efforts for Expedia’s first revenue management tool for hoteliers
• Built hotel demand prediction models with less than 5% error using R, Python, Hadoop (Hive)
• Reviewed development of the production version of the hotel demand prediction model
• Regularly presented modeling results to senior management and product managers

### Software Engineer II - Machine Learning @ Orbitz Worldwide
Jan 2015 – Jan 2015
• Led the first-ever user-id based hotel search personalization initiative at Orbitz
• Built recommender models for hotel search using Python, Spark (MLlib), Hadoop (MapReduce, Hive)
• Performed A/B test and increased NDCG (ranking quality) of hotel search by 10%

### Graduate Researcher @ The University of Chicago
Jan 2010 – Jan 2015 | Greater Chicago Area
Fundamental to the field of quantum chemistry is the Hartree-Fock minimization problem which has numerous local minima, due its inherent non-convexity. In that context, the following contributions were made.

• Published 3 first-author papers in top journals – Physical Review A and The Journal of Chemical Physics 
• Formulated a convex relaxation to the Hartree-Fock minimization problem in quantum chemistry
• Developed the first-ever algorithm to obtain upper and lower bounds to global Hartree-Fock minima
• Implemented libraries in C++ and Python for scientific computations on Linux machines

### Undergraduate Research Assistant @ Indian Institute of Technology, Bombay
Jan 2008 – Jan 2009 | Mumbai Area, India
• Published a research paper in the Journal of Molecular Structure
• Implemented numerical methods in C++ for computational modeling of physical/chemical systems


## Education
### Doctor of Philosophy (Ph.D.) in Physical Chemistry (Theory/Computation)
University of Chicago

### Master of Science (MS) in Physical Sciences
University of Chicago

### Integrated M. Sc. in Chemistry
Indian Institute of Technology, Bombay


## Contact & Social
- LinkedIn: https://linkedin.com/in/srikantveeraraghavan

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Source: https://flows.cv/srikant
JSON Resume: https://flows.cv/srikant/resume.json
Last updated: 2026-04-12