Overview
Work History
Education
Skills
Websites
Accomplishments
Cicd
Databasesandtools
Frameworksandlibraries
Publications
Timeline
Generic

Maheep Mahat

Blacksburg

Overview

5
5
years of professional experience

Work History

Software Developer, Full Stack

Center of Geospatial and Information Technology at Virginia Tech
01.2022 - Current
  • Developed a high-efficiency search and indexing using Elasticsearch for a permission sensitive information dashboard, reducing data retrieval times by 4 seconds through optimizing PostgreSQL queries & Spring Boot’s JPA
  • Created a speeding and accident location information visualization app using geoserver generated layers for Virginia State Police utilizing Django, React.js, and Leaflet, resulting in faster information lookup time by 15 seconds
  • Increased data ingestion speed for Urban Affairs and Planning department’s bicycle experiment, reducing from 6 hours to 4 hours 45 minutes using pruning, partitioning, and Tuplex, improving workflow efficiency
  • Designed a geospatial information visualization platform using Django and React by fetching the inrix traffic data and generating layers using geoserver on top of Openlayers map and displaying locations using Fabric IDs.

Associate Software Engineer, Full Stack

Mediaocean Inc.
07.2020 - 08.2021
  • Implemented hot reloading functionality using Webpack and React Hot Loader in the development environment, reducing the iteration time by 20% and accelerating the feature development cycle by allowing instant feedback
  • Designed and improved APIs on Mediaocean’s Prisma platform using Spring Boot, achieving a 15% improvement in customer data fetching and rendering speeds by integrating Spring Data JPA for efficient data management
  • Implemented a 2-step authentication via Email or Text OTP on Mediaocean’s Prisma and Radia platform, slashing the document verification process by 25%, leading to expedited document approval time for clients
  • Created logging functionality across a distributed microservice architecture using the Elasticsearch, Logstash and Kibana stack and monitoring ability using Prometheus resulting is 30% faster issue diagnosis time
  • Spearheaded Server and UI development for Prisma and Radia using Java 9, Spring Boot, and React.js, boosting client engagement and satisfaction and regularly conducting Root Cause Analysis to enhance product reliability.

Software Engineer Intern

Siemens PLM
05.2019 - 08.2019
  • Refactored multiple subroutines in Polarion by employing algorithmic optimizations and reducing redundant operations, resulting in a 2 second improvement in loading of complex workflow diagrams
  • Coded a logging tool for a Mendix application to provide real-time performance monitoring enabling the identification and analysis of system bottlenecks, improving troubleshooting by up to 100%
  • Developed a self-generating connector prototype for in-house microservices using the Mendix which enabled performing CRUD operations on all the microservices in the Siemens local network.

Education

MS in Computer Science -

Virginia Tech
01.2024

B Tech. in Computer Engineering -

Vishwakarma Institute of Technology
01.2020

Skills

  • Java
  • Python
  • C#
  • JavaScript
  • TypeScript
  • SQL
  • GraphQL
  • PHP
  • HTML
  • CSS
  • Spring MVC
  • Spring Boot
  • Django
  • React
  • Angular
  • Nodejs
  • D3js
  • Expressjs
  • Nextjs
  • PostgreSQL
  • MongoDB
  • Snowflake
  • MySQL
  • JDBC
  • Kafka
  • RabbitMQ
  • Kibana
  • Figma
  • AWS
  • Azure
  • Kubernetes
  • Jenkins
  • Docker
  • Git

Accomplishments

  • Awarded full scholarship of $113,000 (including monthly stipend) for graduate program at Virginia Tech.
  • Honored with the Mediaocean Rising Star award recognizing outstanding performance and contributions.

Cicd

  • AWS
  • Azure
  • Kubernetes
  • Jenkins
  • Docker
  • Git

Databasesandtools

  • PostgreSQL
  • MongoDB
  • Snowflake
  • MySQL
  • JDBC
  • Kafka
  • RabbitMQ
  • Kibana
  • Figma

Frameworksandlibraries

  • Spring MVC
  • Spring Boot
  • Django
  • React
  • Angular
  • Node.js
  • D3.js
  • Express.js
  • Next.js

Publications

  • Deciphering Emotional Responses to Music: A Fusion of Psychophysiological Data Analysis and LSTM Modeling, https://maheepmahat.github.io/
  • Detecting Cyberbullying across multiple social media platforms using Deep Learning, https://ieeexplore.ieee.org/document/9404736

Timeline

Software Developer, Full Stack

Center of Geospatial and Information Technology at Virginia Tech
01.2022 - Current

Associate Software Engineer, Full Stack

Mediaocean Inc.
07.2020 - 08.2021

Software Engineer Intern

Siemens PLM
05.2019 - 08.2019

MS in Computer Science -

Virginia Tech

B Tech. in Computer Engineering -

Vishwakarma Institute of Technology
Maheep Mahat