Hi, I'm Saurabh Verma,

I am Computer Science and Engineering Masters student from Stony Brook University, New York with key interest in Data Science specifically Natural Language Processing. I have a prior work experience of more than 3.5 years working with Samsung Electronics, Bangalore, India from July-2017 to Nov 2020. I have worked as a software developer and have gathered real time industry experience via various projects. Currently, I am working for Explainable AI in the NLP Lab exploring the reasoning behind model's faithfulness at Stony brook University advised by Prof Niranjan Balasubramanian

January 2021 - Present

Master's in Computer Science

GPA: 3.75/4.00
Working towards explainable NLP at NLP Lab under supervison of Prof Niranjan Balasubramanian.
Teaching Assistant for the course "Object-Oriented Programming" under Professor Paul Fodor (Spring 2021).

July 2017 - Nov 2020

Associate Staff Engineer

Implemented C++ based analyzers, enhancing the qualitative first-level analysis by 40%.
Fixed 100+ critical vulnerabilities at the radio resource layer making modem 90% more reliable.
Lead tech-talks and discussions around 4G/5G protocols strengthening the understanding and productivity of the team.

Aug 2013 - May 2017

Bachelor of Technology in Information Technology

CGPA: 8.45/10.00
Worked on improving the TCP performance at SDN Lab under supervison of Prof Mayank Pandey.
Research paper published at ICDCN '19: Proceedings of the 20th International Conference on Distributed Computing and Networking link

Courses Taken

Machine Learning - Prof. Minh Hoai Nguyen
Distributed Systems- Prof. Scott Stoller
Natural Language Processing - Prof.Niranjan Balasubramanian
Computer Vision - Prof. Haibin Ling
Probability and Statistics for Data Science - Prof. Anshul Gandhi

Publication

Singh, K. V., Gupta, S., Verma, Saurabh, & Pandey, M. (2019). Improving performance of tcp for wireless network using sdn, 267–276. doi:10.1145/3288599. 3288626

Projects

Hypothesis Testing

This project automates several hypothesis tools and techniques which can be used while exploring datasets

Hand Written Digits Recognition

This project provides working python code which can be used to detect Hand written digits.

Object detection using SVM

This project explores Hard-Negative Mining while using Support Vector Machine for object detection.

Sticky Note Management System

This project incorporates SpringBoot MVC Framework and exercises basic CRUD operations.

Kaggle Competetion

Few Shot Counting

Counting objects in images

Link

Licenses & certifications

Description		Link
Python for Data Science and Machine Learning Bootcamp		Link
Deep Learning: Advanced NLP and RNNs		Link
NLP - Natural Language Processing with Python		Link
PostgreSQL		Link
SOLID Principles of Object-Oriented Design and Architecture		Link

Medium Articles

Saurabh Verma: Masters student@ Stony Brook University! Interested in Natural Learning Processing and an active member of NLP Reading group

Reach out to me !!!