• Worked on various projects to refine programming skills and gain experience

• Created sudoku solver in C and GUI in python. The solver utilized the backtracking algorithm and the GUI was created using pygame.

• Built Django web application for organizing recipes. Utilized a relational SQL database (PostgreSQL) to store related data such as recipes, shopping lists, and ingredients.

• Built a real-time chat web app that utilizes a REST API and websockets to transfer data between the client and server. The server-side code is written in Go using the Fiber framework and the client-side code is written in React.js. User information and messages are stored in a Mongo database. The database and server-side code are dockerized and the app is deployed on Vultr (a VPS).

• Took responsibility for my little brother's education while in quarantine

• Helped him with homework while allowing him to think through problems and come to his own conclusions

• I taught myself digital logic and FPGA development through various textbooks.

• For around half a year I spent my time working on small FPGA projects to ensure that I understood the basics of FPGA development.

• I then worked on an SoC based on the Microblaze MCS. This SoC was intented to handle various serial communication protocols (UART, I2C, SPI). I designed it in SystemVerilog and wrote the drivers in C++.

• The next project was a 5-stage pipelined RISC-V CPU designed in Verilog. I handled RAW hazards through data forwarding and I handled control hazards by moving the comparator into the ID stage.

• I wrote an assembly program to test the functionality and loaded it into instruction memory.

• Finally, I designed a direct digital frequency synthesizer with a low-pass FIR filter with 15 taps capable of generating and modulating sinusoidal waves up to 5MHz.

• Took an online data science course where I learned to use scikit learn, pandas, and tensorflow to create predictive models

• After completing the course, I worked on various projects related to data science (https://github.com/bzeeno/Data-Science)