Thomas Armena Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Hamilton, Ontario, Canada

- Main coding contributor to mobile recipe app (Flutter), backend service (Golang, PostgreSQL), content management platform (React), and continuous integration/deployment (AWS Lightsail, Github Actions, Docker)- Managed a team of volunteer contributors, lead sprint meetings, allocated tasks, facilitated code review, and made major technical decisions

Toronto, Ontario, Canada

- Lead and contributed to development of a survey web app (React) and mobile iOS app (Swift) for postpartum mothers, as well as the backend for collecting and exporting user and survey data (Node.js)- Made major technical decisions and worked with project manager to plan sprints and allocate tasks

Toronto, Canada Area

– Developed an interactive learning website for a first year anatomy course– Designed a RESTful API that handles student authentication and progress in Golang andusing Postgres– Created various exercises in React such as drawing ligaments on 3D models, drag and dropchoices, etc– Implemented scalable state management for the frontend using redux

Toronto, Ontario, Canada

– With one other developer, worked on a prototype that was pushed to development, a smart device station that allows you to connect and use peripheral devices (printers, scanners, card readers) via bluetooth proximity and secured wireless connection (node and electron) ∗ Demoed this project to stakeholders which included VPs and seniors of a few departments ∗ Held meetings to handoff knowledge of the architecture and code to the engineers that willbring the project into production– Created a system of biometric camera’s that collects and stores facial data into a MySQLdatabase and can be controlled remotely (raspberry pis and amazon web services)– Worked in a team of 5 to develop a digital kiosk assistant for future banking centres ∗ Created the ”hearing” capabilities of the AI, leveraging mic arrays attached to a raspberry pi to capture audio and convert it to text using various AWS APIs ∗ Contributed to the high-level design architecture of the deep learning model used for the AI, experimented with recurrent neural networks to see how they could be used to leverage contextual information to make decisions

Mississauga, Ontario, Canada

- Worked with Unity (C#) and LEAP hand motion detector to create a mini game for marketing purposes- Gained experience working in an Agile environment- Wrote automated integration tests in Python using Selenium to navigate web pages- Used SQLAlchemy to interact with databases