Akash Selvakumar
**** ******** ********* *******, ** 21227 667-***-**** adg0gc@r.postjobfree.com
EDUCATION
University of Maryland, Baltimore County Baltimore, MD
MS in Information Systems, GPA – 3.95 / 4 Expected: May 2021
St. Joseph’s College of Engineering Chennai, India
BE in Computer Science May 2019
TECHNICAL SKILLS
Programming: Java, Python, Ruby
Front-end: HTML, CSS, JavaScript, ReactJS, VueJS, React Native, Bootstrap
Back-end: Servlet, Sinatra, Flask, NodeJS, Express, Django
Database: Oracle, MySQL, PL/SQL, MongoDB
Others: Git, Firebase, AWS, Docker, MS-Office, Selenium, Netbeans, Android Studio
WORK EXPERIENCE
Software Engineer Intern, FRESHWORKS India, Feb 2019 - May 2019
Created an administrative tool similar to PHP MyAdmin with VueJS and Ruby Sinatra to perform CRUD operations reducing data access time to 1 second.
Developed a component that fetches data from any table in the database and display the results with an elegant UI reducing 100's of lines of monotonous code.
Visualized the data using HighCharts library for the users.
Web Application Development Intern, HASURA India, Nov 2017 - Feb 2018
Worked as part of a team that developed a Paypal Express Checkout service for ecommerce applications.
Developed the checkout gateway user-Interface using ReactJS and Material Design.
Cloned Twitter’s User-Interface using ReactJS and Material Design as part of an Individual project.
ML and AI lab Student Worker, UMBC Baltimore, June 2020 – Aug 2020
Built a CNN model to detect Covid-19 from x-rays and deployed it as a web app using Flask.
Developed a hybrid app to serve results of any hosted ML models using Firebase and React Native Expo.
Deploying machine learning models as REST API’s.
Freelancing:
A website of information about nano-crystals: https://singhmstech.com.
PROJECTS
Covid_Predikt:
A React Native application to predict Covid-19 from X-rays using Convolutional Neural Networks and Flask.
Covid_Detect:
A web application to predict Covid-19 from X-rays using Convolutional Neural Networks and Flask.
Spot:
An android app for identification of crop diseases using Convolutional Neural Networks and Image Processing.
Voice-Bot 2.0:
A Machine Learning based voice bot solution for Customer Support using Python and Google Speech Recognition.
Crypto-Rate:
A Server-less web application to learn about crypto currency rates and more using ReactJS.
Twitter UI Clone: A User interface clone of Twitter using ReactJS and Material Design.
PayPal Express Checkout: An express checkout gateway using PayPal in websites using ReactJS and Flask.
Portfolio: My online portfolio web application: https://akash97s.github.io.
RECOGNITIONS
Finalists of Smart India Hackathon 2018 conducted by the Government of India.
Top 5% in IMAD exam by HASURA and NPTEL.
Won various technical competitions in colleges like IIT, MIT, Satyabhama University etc.