Hi,

I'm Vaibhav Vemula

I'm a 
Softw|

About

I am an energetic and ambitious person who has developed a mature and responsible approach to any task that i undertake. I am a hardcore programming and technology enthusiast.

sdcs

Computer Science Graduate

The George Washington University


  • Website: www.vaibhavvemula.com
  • Phone: +1 (703) 505-5527
  • Location:Washington, DC
  • Age: 23
  • Degree: Master of Science
  • Email: vaibhav25vemula23@gmail.com
    vaibhav.vemula@gwu.edu

Resume

Technical Skills


Python
JavaScript
C/C++
ReactJS
NextJS
VueJS
NuxtJS
NodeJS
ExpressJS
MongoDB
PostgreSQL
MySQL
AWS
Flutter
Machine Learning
Tensorflow
Git
Android
Blockchain
Azure

EDUCATION

Master of Science in Computer Science

Aug 2023 - Present

The George Washington University, Washington D.C.

  • Specialization in Machine Intelligence and Cognition

B.Tech in Computer Science & Engineering

Aug 2019 - May 2023

PES University, Bangalore, India

  • Specialization in Machine Intelligence and Data Science(MIDS)

EXPERIENCE

The George Washington University

Student Research Specialist

Sep 2024 - Present

Washington, DC

  • Engaging under Dr. Kelvin Fong at LEAPH Lab, utilizing GIS and satellite remote sensing to assess environmental exposures, including air pollution, extreme temperatures, and green space in communities.
  • Building an interactive application to visualize park greenness index across all 50 US states for GIS-based Data Analysis.

The George Washington University

Graduate Research Assistant

May 2024 - Present

Washington, DC

  • Collaborating with Dr. Jin Fang to design and develop a scalable educational platform for over 1000 children, implementing a comprehensive database, user interface, and server-side logic.
  • Automating testing for React and Flask frameworks, focusing on high performance, scalability, quality assurance, secure authentication, and an intuitive user experience to improve learning outcomes.

Bosch Global Software Technologies (BGSW)

Research and Development Intern

Jan 2023 - May 2023

Bangalore, India

  • Developed and managed comprehensive MLOps pipelines on Azure Machine Learning, automating model training, evaluation, and deployment, resulting in a 30% reduction in deployment time for 5 robust deep learning models; presented these innovations at a company project showcase to the CEO and executives from Germany and Bangalore.
  • Implemented scalable deployment solutions with Azure Container Instances and integrated MLOps pipeline architecture with a React frontend and Flask API for user-friendly interactions.

Bosch Global Software Technologies (BGSW)

Research and Development Intern

June 2022 - July 2022

Bangalore, India

  • Worked with various deep learning models, architectures and strategies for pedestrian detection and segmentation in the Autonomous Driving (AD) domain.
  • Researched and implemented various ensemble learning techniques for object detection and segmentation.
  • Constructed MLOps pipeline and developed a visualisation dashboard using MLflow to better analyse metrics.
  • Technologies used - PyTorch, Tensorflow, OpenCV, MLOps, MLFlow, DVC, Python

PESU Venture Labs

Product Developer

Oct 2021 – June 2022

Bangalore, India

  • Collaborated with clients to create applications that are released for public use.
  • Developed applications from the ground up for two startups, seminarroom.in, and Senior Central
  • Successfully integrated video streaming service and payment gateway and scaled the architecture for 7000+ users.
  • Developed a multipurpose backend architecture. Designed and implemented SQL database using PostgreSQL.


POSITIONS OF RESPONSIBILITY

IEEE Computer Society, PES University

Student Vice Chair

Nov 2021 – Nov 2022

Bangalore, India

  • ieeecspesu.tech
  • Founding member of IEEE Computer Society Student Branch Chapter in PES University.
  • Leading a team of 30 motivated people and successfully conducted 6 technical events, workshops and multidisciplinary initiatives that helped 500+ students in learning new skills.
  • Mentored 5 teams to complete their research project.
  • Played a pivotal role in organising a 24Hr Bangalore Level Hackathon, Silicon Rush
  • Built a search engine with open source tools to keep track of the web searches performed throughout the hackathon.
  • Actively participating in IEEE Computer Society webinars and events.

Why Waste?

Core app developer

Sep 2021 – Present

Bangalore, India

  • “Why Waste?” is a Non profit organization educating citizens about creative ways to reduce water waste. whywaste.io
  • Developed a mobile app with 2000+ downloads across iOS and Android that allows users to measure their water footprint, complete challenges, and learn more about water waste.
  • Working with UNICEF India to track and evaluate student water consumption across India’s state of Maharashtra.

PESU IO

Executive

Mar 2021 – Oct 2022

Bangalore, India

  • PESU I/O is India’s first and only peer to peer collaborative platform by PES University.pesu.io/home
  • Collaborated with team members using version control systems such as Git to organize modifications and assign tasks.
  • Successfully integrated payment gateway and working with internal and external APIs. Implemented enhancements that improved application functionality and responsiveness. scaled the infrastructure to support 5000+ concurrent users.
  • Worked on revamp of the website using NuxtJS, TailwindCSS. Building APIs and maintaining backend using NodeJS and ExpressJS.

Team Aeolus – IARC

Core team member

Sep 2019 – July 2022

Bangalore, India

  • IARC domain of Team Aeolus is focused to participate in the Mission 9 of International Aerial Robotics Competition(IARC) held annually in Atlanta, USA. aerialroboticscompetition.org
  • Developed an obstacle avoidance system for drones to solve a challenging task given by IARC Mission 9.

Projects

-------- RESEARCH --------

Sunset in the mountains
Localised Land-Use Classification using UNet and Satellite Imaging

Published at 2nd International Conference on Intelligent Systems and Applications (ICISA 2023) (Springer).

Developed an advanced application leveraging GIS and machine learning for urban growth analysis, utilizing Sentinel-2 and Landsat data for Land Use/Land Cover assessments, UNET for segmentation, and QGIS for visualization to support smart and sustainable city planning initiatives.

GISRemote SensingAI/ML/DLOpenCVPython
Sunset in the mountains
Zemoo, an e-commerce platform built on the Blockchain

This project was carried out under IEEE Computer Society Bangalore Chapter

Developed a decentralised E-commerce platform based on the Polygon blockchain network.

Created a NFT based warranty system which auto decays after the warranty period of the product purchased. NFT warranty is used to verify the authencity of the product.

PolygonHardHatSolidityNextJSIPFS
Sunset in the mountains
Social Humanoid Robo Face with Emotions

A 3D printed social humanoid robot face capable of generating various human like facial expressions and voice outputs based on the situations in which it’s situated.

Researching on various Artificial intelligence, Deep learning algorithms and other cloud based APIs to efficiently learn, recognize, and react to different situations.

AI/ML/DLWatsonAPIOpenCV
Sunset in the mountains
MarvinEye - Autonomous Navigation Framework

This research project was carried out at Parallel Systems Research Lab(PSRL), PES University

Designed and executed Autonomous Navigation System in Constrained Environment using DSMAC(Digital Scene Mapping and Area Correlation), Triangle Similarity and various Computer Vision and Machine Learning algorithms for guidance and navigation.

AI/ML/DLOpenCVPython
Sunset in the mountains
Autonomous UAV

R&D of various ML algorithms & developing new insights for object detection on drones using combinations of stereo cameras and LIDAR for simultaneous localization and mapping.

Implementing feature based matching algorithms to detect communication module using descriptors like SIFT, SURF and ORB.

AI/ML/DLOpenCVPython
Sunset in the mountains
Synthetic Polygon Generation

Researched and developed optimised algorithms for Synthetic Polygon Generation with varieties of data distributions and spatial attributes.

Generated polygon datasets - exhibiting spatial properties of Real-world Land Use/Land Cover(LULC) cases.

GISPythonC++




-------- Few Personal Projects --------

Contact

Call:

+1 (703) 505-5527

Location:

Washington, DC


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