Vivek Maskara

GRA at The Luminosity Lab, ASU | Ex Senior Software Engineer, Zeta | Volunteer, Wikimedia Foundation

Arizona State University

Hello!

I am currently pursuing my Masters in Computer Science from Arizona State University. I completed my bachelor’s in Software Engineering from Delhi Technological University. I love writing code, developing apps and creating websites.

As a full stack Software Engineer at Zeta, I helped in building a suite of products for digitizing office cafeterias used by ~700 corporates and attributing to 1 million+ monthly transactions. With strong Computer Science fundamentals and experience across multiple engineering verticals, I always tend to bring a unique perspective when solving business problems.

I have been associated with the Wikimedia Foundation as a volunteer for the past 3 years, contributing to their Wikimedia Commons Android app.

Interests

Artificial Intelligence
Computer Vision
Android app development

Education

Master of Science, Computer Science, 2021
Arizona State University
Bachelor of Technology, Software Engineering, 2016
Delhi Technological University - New Delhi, India

Experience

Graduate Research Assistant

The Luminosity Lab, ASU

Mar 2020 – Present Tempe, Arizona

Responsibilities include:

Developing a machine learning model for detection of Neuroblastoma using histopathological images for PCH hospital.
Researched and built the MVC for indoor parking automation using YOLO and DeepSort for real time vehicle tracking.
Contributed to the backend for ASU’s end to end PPE response network for producing and delivering medical supplies.
Built a Customer 360 dashboard for Bank of West using Neo4J graph database, Flask backend and React for frontend.
Published a gamified supply chain management learning app funded by USAID, ShipShape for iOS and Android.

Senior Software Engineer

Zeta, Directi

Jun 2016 – Nov 2019 Bangalore, India

Built NFC based contactless payments & custom ordering solution for POS attributing to 1 million+ monthly transactions.
Contributed to over 20+ projects in Zeta spanning across Android, Raspberry Pi and backend microservices.
Responsible for optimizing query performance for PostgreSQL and building throughput and service health monitoring dashboards using Grafana and Kibana.

Recent Posts

Analyzing Bike Sharing Demand

Recently, I worked on an assignment to analyze the data from bikesharing system to predict its demand. In this post, we will see how the given data can be analyzed using statistical machine learning methods.

Vivek Maskara

Last updated on Feb 12, 2021 10 min read Data Science

Tabular Synthetic Data Generation using CTGAN

In this post we will talk about generating synthetic data from tabular data using Generative adversarial networks(GANs). We will be using the default implementation of CTGAN [1] model. Introduction In the last post on GANs we saw how to generate synthetic data on Synthea dataset.

Vivek Maskara

Last updated on Dec 18, 2020 3 min read Deep learning, GANs

Tabular Synthetic Data Generation using CTGAN

Covid-19 Diagnosis using Radiography Images

In this notebook, we will try to classify images from the Covid-19 Radiography Dataset[1] using a pre-trained ResNet-18 network. We will be using the PyTorch library for building our network.

Vivek Maskara

Last updated on Dec 19, 2020 3 min read Deep learning, Image Classification

Covid-19 Diagnosis using Radiography Images

Literature Survey: Human Action Recognition

Over the last couple of months, I have been going through a lot of literature about human action recognition using computer vision. In this post, I will share a brief survey of Human Action Recognition.

Vivek Maskara

Last updated on Jul 22, 2020 14 min read Deep learning, Action Recognition

Literature Survey: Human Action Recognition

Generating Tabular Synthetic Data Using GANs

In this post, we will see how to generate tabular synthetic data using Generative adversarial networks(GANs). The goal is to generate synthetic data that is similar to the actual data in terms of statistics and demographics.

Vivek Maskara

Last updated on Dec 18, 2020 6 min read Deep learning, GANs