Hello, I'm

Digant Garude



digant.dg07 (at) gmail.com

Currently pursuing Masters in Computer Science at University at Buffalo, NY


Experience

Software Developer

Rejolut Technologies Pvt. Ltd.
  • Developed RESTful web services in ExpressJs and integrated Hedera Hashgraph SDK for executing blockchain-based transactions between users and smart contracts. Utilized Firebase for sending real-time notifications for transactions.
  • Optimized data sharing between smart contracts and databases to reduce redundancy and transaction costs by 10%.

Worked on the following technologies:

  • Node
  • Mongo DB
  • Google Cloud EC2, Buckets
  • Firebase Web Push
  • Hedera Hashgraph
  • Paypal
  • Docker
  • Nginx
  • Solidity
  • Smart Contract
  • Brain tree payment integrations
  • Passport.js
  • Sendgrid
  • Mirror Node Hedera

Tools and services used:

  • Remix Etherium
  • Postman
  • Insomnia
  • Robo 3t
  • Mongo DB Compass
  • Metamask
  • MyHbarWallet
  • Dragonglass
  • Kabuto
  • Gitlab
  • Click Up
  • Slack
October 2020 - Present

Deep Learning Intern

Concerto Software & Systems

Worked on the following projects :

  • Built a Voice-based Payments application as part of a Hackathon organized by the National Payments Corporation Of India (NPCI) wherein our team ranked amongst the top 15 finalists all over India.
  • Developed a data visualization framework using chartsjs library for business use cases.
  • Prototyped an Automatic Trash Detection system in ATMs based on computer vision using surveillance camera feeds.
  • AI based ATM camera survelliance to detect multiple people and generate heatmap of people inside the ATM premises.

Technologies worked on: Python, Tensorflow, Keras, Open CV, Matplotlib, Yolo Darknet Algorithm, Android Studio, JavaScript, Charts.js

November 2019 - April 2020

Team Leader & Web Development Intern

Software Development Group - RAIT

Project: RAIT College Website & Faculty Details Management System

Work: Mentored and collaborated with a team of 10 for development and integration of faculty management system.

Technologies Used: PHP 7, SQL, JS, jQuery,  AJAX, Bootstrap V4, HTML5, CSS3.

December 2017 - July 2018

Web Development Intern

Software Development Group - RAIT

Project: Automatic Transcript Generation System

Work: Identified security flaws and implemented fixes on the existing system.

Developed new modules for system.

Technologies Used: PHP 5, SQL, JS, HTML5, CSS3.

July 2017 - December 2017

Education

University at Buffalo, New York

Master of Science in Computer Science & Engineering
Courses : MS Project Development, Distributed Systems, Machine Learning, Information Retrieval, Data Models and Query Languages, Algorithms, Blockchain Application Development, Special Topics in Biometrics and Security.
CGPA: 3.5/4
August 2021 - Feb 2023

University of Mumbai

Bachelor of Engineering
Major : Computer Engineering
Final GPA: 8.8/10
CGPA: 8/10
August 2015 - May 2019

C.K.T. Junior College

Major : Computer Science
Percentage: 82.46% (Class: Distinction)
June 2013 - May 2015

St. Joseph's High School

Percentage: 83.82% (Class: Distinction)

June 2011 - May 2013

Skills

Programming Languages
  • Python
  • JavaScript
  • TypeScript
  • Java
  • SQL
  • Mongo DB
  • Solidity
  • HTML5
  • PHP
  • CSS3
  • Bash
  • C
  • Arduino
Frameworks
  • Express
  • React JS
  • Angular JS
  • Django
  • Flask
  • FAST API
  • Strapi
  • jQuery
  • AJAX
  • Bootstrap
  • Tensorflow
  • Keras
Other Technologies I've worked on
  • Amazon Web Services
  • Google Cloud Platform
  • Azure Blob Storage
  • Firebase
  • Docker
  • Android Studio
  • Github
  • Nginx
  • Hedera Hashgraph
  • Smart Contract Development
  • Brain Tree payment
  • Passport.js
  • Sendgrid
  • Mirror Node Hedera
  • Oracle DB
  • Matlab

Projects

Twitter Search Engine Application, Covid 19 and vaccine rhetoric analysis.

Spearheaded the project and engineered an end-to-end search engine web application with sentiment analysis, topic modeling, possible anti-vax narrative, and analytics. Indexed 200k+ multi-lingual tweets in Apache Solr.
Identified and visualized excerpts of vaccine hesitancy amongst the general population and politicians.
Technologies Used: Apache Solr, Angular, Express, Flask, Python, Mongo DB, AWS Comprehend & EC2, Highcharts.

Medical Insurance Payment Settlements based on Ethereum Blockchain.

Designed and built a payments ecosystem for automating the insurance settlements between patients, doctors, hospitals, and insurers using Smart contracts and ERC20 tokens.
Technologies Used: Angular, Express, Mongo DB, Smart Contracts, ERC20 tokens, web3js.

Distributed Publisher Subscriber model for Github’s Trending Repositories.

Implemented a distributed Publisher Subscriber model from scratch using Django and Flask that could be scaled to n publishers and subscribers dynamically using docker scripts.
Improved the system using Apache Kafka for pubsub interaction and implemented fault tolerance between brokers.

Outfit Recommendation System using Machine Learning

It is a python based web app running on top of Django Server which uses machine learning techniques such as K Means Clustering and Minimum distance algorithm to extract the skin tone of facial images and Decision Tree Learning to correctly classify outfits into groups and recommend outfits based on skin tone, occasion, size, popularity and other features.
Technologies Used: Python 3, Django, HTML5, CSS3, JavaScript, jQuery, Bootstrap 4.

RAIT Grievance Portal

A web application designed for students and staff of our college to submit their grievances online and get response regarding the action taken by college for their problems.
Technologies Used: PHP 7, SQL, HTML5, CSS3, JavaScript, Bootstrap v4.

Skin tone shade extractor

A python project designed to categorize skin tone shades to a specific color. The project uses haar cascade to detect faces and K’ Means Clustering algorithm to detect skin tone and minimum distance to allot skin tone shade. The algorithm is pretty fast and can allot shades with good enough accuracy.
Technologies Used: Python 3, Sklearn, Numpy, OpenCV, Matplotlib.

College Research Forum

A web portal designed for students to interact with their seniors to solve their doubts and gain knowledge regarding college projects.
Technologies Used: PHP 7, SQL, HTML5, CSS3, JS, jQuery, AJAX, Bootstrap v4.


Interests

My interests lie in the domain of Artificial Intelligence, Internet of Things, Automation,etc.

I spend a large amount of my free time exploring the latest technology advancements in the deep learning world.

My hobbies are reading, freelancing web-dev projects, watching tech reviews and playing video games all from the Age of Empires to Need for Speed.


Courses / Certifications

Courses
  • Deep Learning Specialization - By Coursera
  • Baseline AI, ML, Data by Google Qwiklabs.
  • Microsoft Technology Associate in Security Fundamentals.
  • Computer Hardware Essentials - from JetKing
Certificates
  • Certificate of Excellence in Machine Learning with Python conducted by CSI RAIT. (2017)
  • Qualified for Final Round of Placement Mantra in Techmate 2k15
  • Secured 2nd rank in Science Team Quiz in Junior College.
  • Secured 1st and 2nd rank respectively for Best Presentation Making Competition in Junior College.
  • Participated in workshops based on Machine Learning, Advanced Web Technologies, and Android App Development.

Research

Published a paper on Skin Tone And Occasion Oriented Outfit Recommendation System in the 2nd International Conference on Advances in Science & Technology (ICAST) 2019.

Link: Skin Tone And Occasion Oriented Outfit Recommendation System

dgarude@buffalo.edu