Varadbhogayata.Github.Io

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Varadbhogayata.Github.Io. A landing page in a single HTML file, with quiz, resume. Open it in the browser, or copy it into a NOS workspace and edit it.

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Varad BhogayataSoftware Developer

Hi, I'm Varad Bhogayata.

A
Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a Computer Science Grad Student at Arizona State University. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Django, Flask, MySQL, PostgreSQL, MongoDB, HTML5, CSS, Java, C++ during my bachelor's. I have 19 months of professional work experience which helped me strengthen my experience in Python, Flask, and Django. I am passionate about developing complex applications that solve real-world problems impacting millions of users.

  • Languages: Python, Java, JavaScript, C, C++, HTML/CSS, Bash
  • Databases: MySQL, PostgreSQL, MongoDB
  • Libraries: NumPy, Pandas, OpenCV
  • Frameworks: Flask, Django, Node.js, Keras, TensorFlow, PyTorch, Bootstrap, Apache Beam
  • Tools & Technologies: Git, Docker, AWS, GCP, Heroku, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Software Engineer
  • Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
  • Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities such as login/sign up, view a product, add a product to cart, checkout the order, etc.
  • Improved the response time by 20% by refactoring the codebase and changing database design and queries.
  • Added a bulk upload feature which reduced the manual work of adding products into a database.
  • Tools: Python, Flask, MongoDB
July 2020 - Nov 2020 | Hyderabad, India
Programmer Analyst
  • Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
  • Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
  • Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; utilized perspective transformation, object detection, and object tracking to find the location of a human.
  • Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and DeepSORT algorithm for multi-object tracking.
  • Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch
Dec 2018 - July 2019 | Ahmedabad, India
Your Brand
Software Developer
  • Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity of each drug container to estimate the degradation of the drug.
  • Created an alert system to send notifications and emails when the parameters exceed the threshold.
  • Tools: Python, Flask, JavaScript
July 2018 - Nov 2018 | Ahmedabad, India
Project Trainee
  • Designed a library management system for a local library, where we undertook activities like requirement elicitation, preparing Data Flow and Entity-Relationship diagrams.
  • Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language Processing and Support Vector Machines with 96% accuracy on the company’s data.
  • Tools: Python, Scikit-learn, NLTK
June 2017 - July 2017 | Ahmedabad, India

Projects

Music Player Web-App

A music streaming web app based on Django

Accomplishments
  • Tools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
  • Register/login to the web app(with OAuth-based Google Sign-In).
  • Search and filter songs based on language and singer.
  • Create multiple playlists and add/remove songs to/from playlist.
  • Scroll through recently played/viewed songs.
Your Brand
Quiz Web-App

A quiz playing web app based on Django

Accomplishments
  • Tools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
  • Register/login to the web app(with OAuth-based Google Sign-In).
  • Play Quiz and see the leaderboard
Your Brand
Blog Web-App

A simple and extensible blog web-app based on Flask.

Accomplishments
  • Tools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
  • Users can view posts and contact the admin via Contact Page.
  • Admin can Add, Delete, Update posts.
Visual Question Answering

An attention-based classification model that aims at generating an answer for a given input image.

Accomplishments
  • Incorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term Memory for extracting question embeddings.
  • Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the VQA evaluation metric.
Video Summarizer

A Seq2Seq model that generates a short summary of the given input video.

Accomplishments
  • Incorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for generating a summary.
  • Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71, 0.52 scores respectively on ROGUE, BLEU, METEOR evaluation metrics.
Image Generator

An image generator based on the concept of adversarial networks (GANs)

Accomplishments
  • Developed system was tested on a human-face database and loss was calculated by comparing the PCAs of generated and original image.
  • Calculated difference in PCA was less than 10%, depicting the successful generation of an image by the generator.
Head Counting System

A system that calculates the attendance of the class from a panoramic image of a live classroom.

Accomplishments
  • Used Singular Value Decomposition for image compression; applied various image processing techniques and morphological operations to detect the number of heads.

Skills

Languages and Databases

Your BrandPython
HTML5
CSS3
Your BrandMySQL
Your BrandPostgreSQL
Your BrandShell Scripting

Libraries

Your BrandNumPy
Your BrandPandas
Your BrandOpenCV
Your Brandscikit-learn
Your Brandmatplotlib

Frameworks

Your BrandDjango
Your BrandFlask
Bootstrap
Your BrandKeras
Your BrandTensorFlow
Your BrandPyTorch

Other

Git
AWS
Heroku

Education

Arizona State University

Tempe, USA

Degree: Master of Science in Computer Science
CGPA: 4.0/4.0

    Relevant Courseworks:

    • Distributed Database Systems
    • Cloud Computing
    • Foundations of Algorithms

School of Engineering and Applied Science, Ahmedabad University

Ahmedabad, India

Degree: Bachelor of Technology in Information and Communication Technology
CGPA: 3.13/4.33

    Relevant Courseworks:

    • Data Structures and Algorithms
    • Database Management Systems
    • Operating Systems
    • Machine Learning
    • Computer Vision

Contact

+14805722456

vbhogayata@gmail.com

github.com/varadbhogayata

linkedin.com/in/varadbhogayata

Based on varadbhogayata/varadbhogayata.github.io · MIT License · Copyright (c) 2020 Varad Bhogayata
Photographs replaced with artwork generated in the page, so this is one HTML file with no external images and no build step.