About Me

Meticulous | Driven | Passionate

I love working with people to create meaningful impact through software development projects.

Hit me up if you are interested in collaborating with me!

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01 — BACKGROUND

Background

I lost myself in the world of coding...

I always thought my dream was to be a professional sportsman, or a classical musician, performing my craft for thousands to witness and admire. It seemed like an appropriate dream given my childhood education with sports and music. But I kind of just felt meh. I yearned to learn more, to learn something different.

And that's when it happened; the spark I was missing ignited the instant I built my first JavaScript snake game. It's like there is another world behind the digital screen. The world of 1s and 0s. Since then, I can't get enough. It incorporates creativity and problem solving and I'm allowed to build the world any way I want (by following design principles, of course).

Full Stack Software Development and Artificial Intelligence (AI) calls to my interests. In my free time, I learn and work on projects related to these fields.

I am always seeking opportunities to learn and grow as a developer, whether through internships, part-time work or projects. My ultimate goal is to use my skills to build and innovate in the digital world and make a positive impact.

02 — SKILLS

Languages

Python, C, C#, C++, Java, TypeScript

Web (Frontend)

HTML5, CSS3, TypeScript, React.js, Next.js, Tailwind CSS

Web (Backend)

Node.js, TypeScript, Nest.js, FastAPI, Python, Java Spring Boot

Mobile

React Native

Database

MySQL, MongoDB

Others

Git, GitHub Action, Figma, Blazor WASM, ASP.NET Core

Domain Expertise

Frontend, Backend, Web Development, Neural Networks, Reinforcement Learning

03 — CERTIFICATES

Google Data Analytics Professional Certificate

Coursera | Issued Dec 2021

Those who earn the Google Data Analytics Certificate have completed eight courses, developed by Google, that include hands-on, practice-based assessments and are designed to prepare them for introductory-level roles in Data Analytics. They are competent in tools and platforms including spreadsheets, SQL, Tableau, and R. They know how to prepare, process, analyze, and share data for thoughtful action.

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IBM Data Science Professional Certificate

Coursera | Issued Feb 2019

In this Professional Certificate learners developed and honed hands-on skills in Data Science and Machine Learning. Learners started with an orientation of Data Science and its Methodology, became familiar and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models. In the process they completed several labs and assignments on the cloud including a Capstone Project at the end to apply and demonstrate their knowledge and skills.

Credential ID: 5G2C5FZTF6VX

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