Daniel Vega
Education
Illinois Institute of Technology
- B.S. Computer Science
- Graduated December 2016
- Relevant Coursework:
- Operating Systems
- Data Structures & Algorithms
- Software Engineering
- Computer Security
- Computer Organization & Assembly Language Programming
Work Experience
Target Coorporation
- Electronics Team Member
- Chicago, IL
- March 2015 - August 2016
- Interfaced with customers to identify purchasing needs
- Recommended additional products and alternatives
- Updated inventory when needed
Exelon Summer Institute
- Lead Teacher Assistant
- Chicago, IL
- July 2013 - August 2015
- Acquaint incoming IIT students to the concepts of programming using Java. Introduced data types, variables, and loops.
Freelance Coders Camp
- Teacher Assistant
- Chicago, IL
- July 2014 - August 2015
- Helped introduce topics in computing such as programming, the web, and arduino.
Skills
Programming
- Java
- Swift
- Python
- HTML
- Javascript
- CSS
- MySQL
- jQuery
- C
Software Development
- Mobile App Development
Assembled an iOS and watchOS mobile application for the purpose of delivering estimated bus and train arrival times for CTA vehicles.
- Web Development
Utilized Google Cloud Platform (GCP) App Engine to develop a Flask application in Python using standard and flexible environments that have access to GCP Cloud Storage via its API.
Used Heroku as a cloud backend to develop a CTA bus and train vehicle tracker web app.
Combined the use of Google's Geocoding API and Dark Sky API to create a weather web app with Heroku as a backend.
Created a website that queries two APIs to analyze a piece of text and display GIFs with the sentiment and important words found in the text.
- Amazon Alexa Skill
Developed an Amazon Alexa skill to query the CTA bus tracker API and announce the bus arrival times.
- RESTful Interface
Developed an API that delivered JSON responses with POST and GET requests to add, modify, and return data in memory.
- Machine Learning
Explored the capabilities of the TensorFlow framework by using a library to train a model with music lyrics and generate sample lyrics.