Bloomberg

Asset and Investment Management

• Solving software challenges that occur during the trade creation.

Expedia Group

Developing solutions for performing points transactions on the e-commerce platform.

• Created the CICD pipelines to ensure continuous deployment of Expedia's points payment gateway service.
• Built RESTful micro-services using web frameworks like Spring MVC, Spring Boot.
• Coded Python scripts to fix the unsettled transactions with bank generating the revenue of ~ $500k.
• Optimized the organization’s cost by migrating Microsoft SQL database to open-source PostgreSQL.

Quoko - A positive news app

Launched Quoko, a positive news app, managing end-to-end product development

• Built an Android app to provide positive content/news cards during COVID-19 pandemic
• Viewed by 250k+people across 39 countries with 1k+ app downloads.

University of Pennsylvania: URBS Lab

Associated with the lab via remote research internship and working on evolutionary machine learning algorithms

Co-evolving genetic-programming (GP) trees with rules in Learning Classifier Systems (LCS)

• Developed a ML algorithm in Python from scratch for imbedding GP-Trees in the ExSTraCS framework, a supervised LCS.
• Enhanced the performance of GP tree operations in terms of execution speed and tree representation.
• The solution was selected for presentation at:GECCO 2020.

GP Trees – Python Library

• Created a python library for all the GP trees related operations that can be used directly for any GP application.

Expedia Group

An Enterprise Service Bus architecture that enables the company to build an adaptor to communicate with banks for points transaction using UI facilities

• Devised a framework to perform loyalty points transaction with banks using Enterprise Service Bus architecture.
• Developed a UI replacing the method of coding in Java with drag & drop facility for making transactions.
• Reduced time of on-boarding the adaptors from three months to three days.
• Worked with Mulesoft, Java Spring, Tomcat, Maven and RESTful APIs.
• Received a pre-placement offer for the profile of Software Development Engineer.

Netaji Subhas Institute of Technology

Conducted my undergraduate research on deep learning, reinforcement learning and evolutionary algorithms

Devised techniques to solve the training issues in Generative Adversarial Networks (GANs): Deep Learning

• Improved the training of GANs and increased the quality and diversity of generated images.
• Research article published at International Joint Conference on Neural Networks (IJCNN - 2020).

Evolution of game playing strategies in Othello using eXtended Classifier Systems (XCS)

• Proposed an approach of playing game of Othello using XCS, a branch of LCS that evolves game-playing strategies.
• Research article published in Congress of Evolutionary Computation (CEC) 2018.

Highlights

• Our work on "Evolving genetic programming trees in a rule-based learning framework" was presented and published in GECCO 2020.
• The extended abstract of our work can be found here.
• Created this poster explaining our approach (Presented in the conference):

• Presented two research papers: "An Evolutionary Learning Approach to Play Othello Using XCS" and “Augmented Gene Expression Programming” at the conference.
• Got a research paper titled: An Evolutionary Learning Approach to Play Othello Using XCS published in the Congress of Evolutionary Computation (CEC) conference proceedings.
• Received an $800 travel-grant from IEEE as an undergraduate speaker and having the major contribution in the paper.

• Attended the computer science and automation summer school to figure out my research interests.
• Learnt about the cutting edge research work going on in artificial intelligence and some key areas of Computer Science.
• The summer school contained lectures, demos, and hands-on sessions by the department faculty, research scholars and industry experts.
• Relevant topics studied: Cryptography, machine learning, cognitive decision making agents in games (eg. Chess, Go), graph theory, linear algebra and probability, deep learning to play Atari games.

Publications

• S. Verma et al. (2020), "Evolving Genetic Programming Trees in a Rule-Based Learning Framework". Genetic and Evolutionary Computation Conference Companion (GECCO ’20) Cancún, Mexico. ACM, New York, USA, pp. 1-2.
• S. Nagpal, S. Verma, S. Gupta and S. Aggarwal (2020), "A Guided Learning Approach for GANs". International Joint Conference on Neural Networks, IJCNN 2020 Glasgow, UK, 2020. https://git.io/guided-gan. IEEE, pp. 1–8.
• S. Jain, S. Verma, S. Kumar and S. Aggarwal (2018), "An Evolutionary Learning Approach to Play Othello Using XCS" IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018, pp. 1-8.

Programming Languages

Java

Python

Julia

C++

SQL

Libraries

TensorFlow

Pytorch

Spring

Numpy

Pandas

Deap

Other

AWS

LaTeX

Github

Jupyter

Eclipse

PyCharm