About Me

Hi All, I am a final year Computer Science Ph.D. Student at Tulane University, where I am advised by Dr. Aron Culotta. My research mainly deals with natural language processing, recommendation systems, and social network analysis. The main areas of application include toxicity detection, news recommendation systems, and user behavior modeling in social networks. Before this, I held roles in industry such as an AI Engineer, Data Scientist, and Software Engineer.

Skills

Python
Java
Javascript
C++
Pytorch
Ray
Tensorflow
Transformers
Numpy
Scipy
Pandas
Scikit Learn
Spacy
Flask
Django
AWS S3
MySQL
Postgress
MongoDB
ElasticSearch
Kafka
Airflow
Spark
Matplotlib

Education

1. Tulane University - New Orleans, LA

  • Ph.D. in Computer Science (2018 - 2023)
  • GPA: 3.916/4.00
  • Advisor : Dr. Aron Culotta
  • Relevant Coursework: Artificial Intelligence, Computer Vision, Theory of Computation, Distributed Systems, Operating Systems, Deep Learning, Programming Languages and Translators

2. Illinois Institute of Technology - Chicago, IL

  • M.S. in Computer Science (2015 - 2017)
  • GPA: 3.50/4.00
  • Relevant Coursework: Design and Analysis of Algorithms, Natural Language Processing, Machine Learning, Online Social Network Analysis, Information Retrieval, Advance Database Organization, Object Oriented Design Programming

3. BMS Institute of Technology - Bangalore, INDIA

  • B.E in Mechanical Engineering (2009 - 2013)

Industry Experience

1. Pacific Northwest National Laboratory (PNNL) - Richmond, WA

PhD Research Intern (Summer 2019 - Summer 2020)
-> Researched and developed Representational Learning Models to improve Causal Inference Estimations to evaluate the effectiveness of Non-Pharmaceutical Interventions for COVID-19
-> Developed an ensemble framework for Causal Relationship Models to improve Causal Discovery Results.

2. Accenture Digital - Chicago, IL

Artificial Intelligence Engineer (August 2017 - May 2018)
-> Designed and developed deep learning based sequence prediction models for DNA sequencing
-> Designed and developed Failure Detection models for Oil Pipelines using Boosted Decision Trees.
-> Designed and developed large scale data ingestion platform using a micro-services based framework architecture

3. Datacubes Inc. (Currently Convr) - Schaumburg, IL

Data Scientist Intern (May 2017 - July 2017)
-> Designed and developed machine learning based Risk Assessment Models for Insurance Underwriting
-> Designed and developed large scale web scraping framework to extract licensure and permit based data sources

3. Accenture - Bangalore, India

Software Engineering Analyst (Dec 2013 - July 2015)
-> Designed and developed an NLP Engine that performed information extraction from cybersecurity threat advisories, using semi-supervised models for pattern extraction
-> Developed an platform that extracts important multi-term based phrases to aid information extraction systems

Teaching and Research

1. Tulane University

Research Assistant (Fall 2020 - Spring 2023)
-> Performing NLP based research at TAPI (Text Analytics for Public Interest) Lab

2. Illinois Institute of Technology

Research Assistant (Fall 2018 - Spring 2020)
-> Performing NLP based research at TAPI (Text Analytics for Public Interest) Lab
Teaching Assistant (Fall 2019 - Spring 2020)
-> Online Social Network Analysis (CS579) and Object Oriented Programming (CS115)