I am an experienced full stack developer with a specialization in the MERN stack and DevOps, bringing a wealth of experience in building dynamic web applications that combine robust front-end interfaces with powerful back-end functionalities. I am committed to pushing the boundaries of technology and delivering innovative solutions that cater to the ever-changing needs of users and businesses alike.
My favorite languages for systems programming, software engineering, and data analysis.
My preferred technologies for front-end web development and component design.
My preferred technologies for back-end web programming and database architecture.
My favorite tools for version control, code editing, and container orchestration.
I developed and designed a website using ReactJS and Bootstrap, hosted on Github Pages, to showcase my web presence, story, work experience, education, projects, and achievements in an interactive and visually-appealing format.
Leveraging the power of React Native and Firebase, I successfully developed a user-friendly chat application that facilitates account creation, private messaging, group creation, and friend discovery. By combining React Native's versatility with Firebase's robust backend capabilities, I built a feature-rich chat app that allows users to effortlessly sign up, communicate privately, form groups, and effortlessly connect with friends. Through the seamless integration of React Native and Firebase, my chat app empowers users to create accounts, engage in secure private messaging, establish groups, and effortlessly discover and connect with friends.
I created a web application for tracking the spread of COVID-19. Using Johns Hopkins University Center For Systems Science and Engineering API, the website processes the COVID-19 data to create statistical projections through graphs and charts.
I developed a powerful Laboratory Information Management System (LIMS) web application using the MERN stack. This comprehensive application allows users to efficiently manage every aspect of a laboratory, including equipment, customers, tests, animals, and records. Leveraging the capabilities of the MERN stack, which consists of MongoDB, Express.js, React.js, and Node.js, I was able to create a robust and scalable solution.
I have developed an advanced face mask detection system leveraging a powerful tech stack that includes TensorFlow and Keras for building and training deep learning models, OpenCV for image preprocessing and face detection, and scikit-learn for additional machine learning tasks. This system utilizes a deep neural network, trained on a diverse dataset, to accurately detect individuals wearing or not wearing face masks in real-time video feeds.