Node.js, Flask, and Angular
React, Javascript, CSS, HTML
Android, Flutter
Firebase, MySQL, and SQLite
Python, Git, Typescript, C, C++, Docker, Google Cloud, Amazon Web Services and Java
Phone: 703-839-3475
Email: ayushg@vt.edu
GPA: 3.7 - Major: B.S. in Computer Science, May 2021 (Expected)
Pertinent Coursework includes:
| Software Design & Data Structures | Problem Solving | Computer Organization |
| Discrete Math | Applied Combinatorics | Linear Alegebra |
Graduated with a 4.2 GPA - Class of 2018
Pertinent Coursework includes:
| AP Calculus BC | Multivariable Calculus | Linear Alegebra |
| AP Computer Science | Mobile & Web App Dev | Computer Vision |
| Artificial Intelligence | Automation and Robotics | Parallel Computing |
MLH Coach
Coach (event representative) at student run hackathons across the US
Coordinate with attendees, organizers, mentors, and sponsors to the ensure the best
experience
Speak publicly covering technical material and sponsor obligations
Software Engineering Intern
• Worked on creating an AI assistant which can analyze and report data from databases
• Used the Rasa Library to build the Natural Language Processing (NLP) component of
the chatbot and Angular for the UI
• SQL was used to retrieve data from the databases and Node.js was used to
communicate between the UI and chatbot
• Reached 94% accuracy when testing the chatbot’s ability to understand questions
Resident Advisor
• Built a community of students through hall activities in an on campus residence hall
occupied by 600 students
• Communicated with other hall staff supervisors to improve campus life and increase
focus on safety
Teaching Assistant
• Help students in and out of class on projects and other assignments. Learn new teaching techniques that are effective on students and adapt teaching style dependent on the student.
Lead of Sponsorship
• Worked on raising over $26k from 9 companies for the VTHacks hackathon that had over
1000 registrations.
• Managed communication with sponsors, negotiated conditions and
funding, and ensured a dynamic and exciting experience for representatives who attended
the event
Abstract Assembly
• Use deep learning techniques to decrease the design process time of CubeSats by over
50%.
• Part of Orion AI Satellite Builder: Creating firebase services that allow
components to communicate with each other
• Currently working with one company and hope to launch product by Q4 2019
Lead Developer
• Budget website, app, and Alexa skill that allows students to keep track of their
expenditure
• Used TensorFlow’s API to create a neural network that analyzes the stock market
and determine which stocks to invest in.
tracking, bank account management, stock investment tracking, and bill payment solution.
• Won best financial hack sponsored by Capital One at Hack TJ.
• Project can be viewed at https://www.github.com/rithik/Financia.
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