Hey there!
Nice to e-meet you. I'm a programmer, a dedicated machine learning enthusiast, and currently
pursuing a Master's degree in Computer Science at CSUN. The balancing act of coursework,
research papers, and assignments is quite the journey, but it's all part of the adventure,
right? I'm captivated by the continuous evolution of machines, surpassing human intelligence.
Job security may be a thing of the past, thanks to our sophisticated calculators!
Skills
Python
Machine learning
JavaScript
Java
C#
React
Angular
Node.js
Docker
Android developement
AWS
Git
Firebase
My Projects
Wikipedia Chatbot
Chatbot that scrapes wikipedia and does semantic analysis
on the
wikipedia to answer questions. The chatbot is designed to answer
questions by retrieving relevant information from Wikipedia pages.
It answers the user's question using the extracted data by finding
the sentence in the Wikipedia page that contains the most entities from the
question.
A Twitter bot that posts random technology news articles to
a Twitter account. The bot uses the News API to get the news articles, and
it stores the articles it has already posted in a SQLite database to avoid
duplicates.
This web tool provides a user-friendly web interface for exploring your Steam library.
The project is structured around two main components: the Express API and the SvelteKit
app.
Engineered an Android application utilizing the Google Maps SDK for accurate
drone
destination selection,
enhancing user interface and experience.
Implemented a secure communication infrastructure by seamlessly integrating
Secure Shell
(SSH) and Secure File Transfer Protocol (SFTP)
between the Android app and the onboard Raspberry Pi, ensuring robust data
security
during operations.
Architected an innovative real-time flight tracking mechanism, providing users
with
instant insights into the drone's location and status,
thereby elevating the overall flight experience through enhanced transparency
and
control.
Developed an intricate XGBoost machine learning model attaining a remarkable 87%
accuracy in predicting credit card acceptance rates.
Leveraged cutting-edge feature engineering methodologies to expertly extract and analyze
invaluable insights from multifaceted transactional datasets,
enhancing the predictive power and robustness of the model.
Tensorflow, XGBoost
Joke Generator API
Joke Generator API, a simple Express.js application that generates jokes as
SVG images.
It utilizes the Canvas library to craft the image and serves it through a dedicated API
endpoint.
I am currently exploring exciting career prospects, with a keen focus on optimizing
and applying my expertise in Android development, Machine Learning, and Full Stack
development. My extensive experience in these domains positions me well for roles
that demand innovative solutions and technical versatility. I am enthusiastic about
contributing my skills to diverse projects and industries, and I am open to engaging
opportunities that align with my professional aspirations.
Feel free to reach out if you have any questions or just want to say hi!