...
×

Tiago Ferreira

Hi! I am a fourth-year student at the University of Toronto, studying computer science and statistics. I will be graduating in Dec 2021 and am looking for newgrad positions for 2022.

I have previous internship experience at Stripe, Coinbase, Amazon, IBM, and Publicis Sapient, where I have made impact and worked in a breath of areas like: Cloud Computing & Big Data, Payments (Security & Fraud), Data Science, Reliability, and more. I have also gotten the opportunity to learn alongside some of the kindest and smartest people.

I am always eager to learn new things and build relationships. I am constantly looking for new challenges and new ways of solving those challenges. I am eager to make an impact and am very passionate about what I do.

If you would like to collaborate on an opportunity and/or just want to talk, reach out!

Experience
Software Engineer Intern
Stripe
May 2021 - August 2021
  • Developing a dashboard to aid users in load review decisions for merchant rate limits using React, SQL, & Ruby
  • Will optimize dashboard load times by implementing pre-computed query tables using Airflow & Spark
Software Engineer Intern
Coinbase
Febuary 2021 - April 2021
  • Improved transfer efficiency by 30%, by implementing data due diligence for the ML feature migration to a unified async data aggregation layer, used in transfer fraud detection, using Python (Flask), Snowflake, & AWS Kinesis
  • Increased revenue by 0.7%, by increasing withdraw limits for PRO users using Ruby & React
Software Engineer Intern
Amazon
September 2020 - December 2020
  • Led a project to reduce Alexa metrics job execution time by 99% (70mins to 1min) and team costs by refactoring code to reduce database search rates using Java, Elasticsearch, & DynamoDB
  • Decreased client metric gaps to 0% by enabling job redoes using realtime backup data in S3
Back-End Developer Intern (Cloud)
IBM
May 2020 - August 2020
  • Contribute to the end-to-end development of guides for IBM’s open-source Open Liberty project
  • Improve build times in agile environment by maintaining CI/CD pipelines using Jenkins & Travis CI
  • Develop and deploy the cloud-native application through microservices using Java EE, Go, Docker, & Kubernetes
  • Improve client satisfaction by dedicating time to solving their problems, using Salesforce
  • Drive business decisions by creating and managing data pipelines for data on the OpenLiberty project using Python and Kibana
  • Optimize developer workflows by engineering an open liberty specific vs-code language server, using TypeScript and Java
Research Assistant - Data Mining
University of Toronto
September 2019 - April 2020
  • Worked and reported to Macroeconomics and Applied econometrics professor Michelle Alexopoulos
  • Cleaned and decoded 22+GB sized XML/JSON European library resource files and output them in a readable format using Python
  • Delivered data alongside actionable insights in a timely matter by optimizing the script efficiency by 75%, in a Linux environment
  • Drove policymakers decisions by managing Information ingestion and redefining database documentation, using Elasticsearch
Software Development Engineer Intern
Publicis Sapient
June 2019 - August 2019
  • Became familiar with code base in < 1 week, integrated a language toggle with pre-existing components and did front-end testing on AngularJS & Java Spring Boot architecture, in Agile environment
  • Increased client revenue by leading the development of an automation tool that scrapes competitor data to predict future product prices through time series analysis, using Python & MySQL
  • Was the lead back-end engineer for an intern project that involved exploiting Natural Language Processing to Engineer a chat bot for a major car brand website with a projected user flow time improvement of 25%; Using Dialogflow & Dask on data of 2+ Million rows and a React & Flask base. Deployed on AWS EC2
Software Developer
University of Toronto Pre-Pharmacy Club
December 2018 - December 2019
  • Solely managed client expectations to develop online platform for 500+ students in 1-week time frame using Bootstrap
  • Optimized bounce rate by 40% by improving information architecture through A/B testing using Google Analytics

Projects

*Hover/click on each photo for more information!*
Avatar
Angleo (ConUHacks IV)
Languages: HTML/CSS, JavaScript, MongoDB
Frameworks: Bootstrap, Node.js, Express.js, Plot.ly
Tools: Git, GCP

Avatar
FireBall
Languages: Python
Libraries: PyGame

Avatar
ReelML
Languages: Python, HTML/CSS, JavaScript
Frameworks: Fetch, Flask
Libraries: Pandas, Scikit-Learn, Keras
Tools: Git, Tensorflow

Avatar
FindMySmartCar (UofTHacks)
Languages: Python, HTML/CSS, JavaScript
Frameworks: Bootstrap, Flask
Tools: Git, GCP, Smart Car API, Microsoft Azure

Avatar
Personal Website
Languages: HTML/CSS, JavaScript
Frameworks: Bootstrap, Vue.js
Tools: Git, Google Analytics, Figma

Avatar
LinkUp (RUHacks)
Languages: Java, PostgreSQL
Tools: Git, Android Studio, Adobe XD, GCP

Avatar
Pinit
Languages: HTML/CSS/JS, Python, PostgreSQL
Frameworks: Django, React, Docker, Fetch API
Tools: Git, Figma

Avatar
Magnify
Languages: JavaScript, Java
Libraries: React-Native, Tensorflow
Tools: Firebase, MobileNet

Avatar
Twitver
Languages: C, Python, JavaScript
Libraries: Flask, React, Bootstrap, Fetch API

Avatar
Mask-On
Languages: Python, JavaScript
Frameworks: OpenCV, TensorFlow, Django, Chart.js
Tools: IBM Cloud, Twilio API


Online Course Work
  1. {{course.title}}
    {{course.comp}}
    {{course.date}}
Relevant Degree Course Work
Operating Systems | Algorithm Design, Analysis and Complexity | Data Structures and Analysis | Databases | Intro to Artificial Intelligence | Machine Learning I & II | Introduction to the Theory of Computation | Linear Algebra | Methods Of Data Analysis | Multivariable calculus | Software Tools and Systems Programming | Probability and statistics | Software Design | Computer Organization
Competitions
Google Hash Code 2020 | Google Code Jam 2020 | RUHacks | ConUHacks | UofTHacks | UtraHacks