My Projects

What I used:

Software:
• C++, Node-Red, Mosquitto, PlatformIo

Hardware:
• Arduino UNO, ESP32, LEDs, buzzer, lcd 16x2 display, Shift register, 4 Digit 7 Segment LED Display, 4x4 matrix keypad, Rfid reader and card, 9v Battery

Main challenges Overcomed:

• Setting up and syncing the inter-device data communications (Serial and MQTT).
• Setting the room's full status control and debug log for a Game Master
• Developing the respective board's codes in a fully modulized way, making code easy to reuse in the future.

Check out the full description of the project, including images and videos, on my Github

What I used:

• Python
• Airflow
• Docker
• PostgreSQL
• AWS

Main challenges Overcomed include:

• Dockerizing the services of the application with docker compose
• Validating and transforming the data
• Managing differences in timezones (local vs spotify's default)
• Deploying in the cloud

Check out the full description of the project, including the data analysis and images, on my Github

What I used:

• Python
• Pandas
• Numpy
• Matplotlib
• Sklearn
• TensorFlow

Results

• Top 30 % in the kaggle competition, with MSE of 0.13618

Check out the full description of the project, including images and videos, on my Github

What I used:

• Python
• PostgreSQL
• Docker
• Redis
• FastApi
• SQLAlchemy

Main challenges Overcomed include:

• Developing software through layers and separation of concerns, keeping TDD (Test Driven Development) in mind
• Improving performance by adopting Redis as a cache
• ORM and migrations with Alembic

Check out the full description of the project on my Github

What I used:

• Python
• Django
• Sqlite
• Selenium
• Html, Css and Javascript

Main challenges Overcomed:

• Implementing users and user carts
• Product filtering
• Liking products and avoiding a user to like more than 1 time a same product
• Adding books with selenium scraping

Check out the full description of the project, including images and videos, on my Github