What I'm currently working on
Data Analytics & AI Foundations
In my research, I’m diving deep into data analytics using Python, R, and SAS, where I focus on learning how to clean, visualize, and interpret data in ways that reveal insights that often go unnoticed at first glance. Beyond simply analyzing numbers, I am exploring statistical modeling techniques and predictive algorithms that can forecast trends in real-world applications like healthcare, business, and finance. This is also forming my foundation for more advanced machine learning work, including neural networks, time-series forecasting, and reinforcement learning. My goal is not just to understand data but to use it to create smarter, automated decision-making systems. These ongoing explorations are preparing me to branch into specialized AI areas, where I’ll connect analytics to impactful, scalable solutions.
Application / Web Development
I actively build both desktop and web applications, blending design, logic, and functionality. On the desktop side, I’ve created interactive tools with PyQt5 that streamline workflows and improve user experiences. On the web side, I use HTML, CSS, JavaScript, Django, and sometimes React to design responsive platforms that bring ideas to life. Recently, I’ve worked on database-driven systems that handle large-scale data efficiently, focusing on speed and scalability. My projects also include integrating APIs, building real-time features, and experimenting with cloud deployments. I enjoy tackling full-stack challenges, from backend optimization and server management to frontend design that feels smooth and intuitive. Each project strengthens my ability to merge creativity with technical rigor while delivering solutions that are practical and impactful.
Emerging Technologies
Recently, I’ve been exploring emerging technologies like cloud computing, distributed databases, and scalable serverless systems, which form the backbone of modern software. These technologies are especially exciting because they directly support how applications handle millions of users and vast datasets in real-time. I’ve been studying how cloud infrastructures such as AWS and Google Cloud can be optimized for analytics, AI, and web applications. Another area I’m passionate about is understanding how edge computing and containerized services improve performance and reliability. My current experiments involve linking these technologies to AI models, so that analytics can run faster, adapt more intelligently, and provide insights at scale. Exploring this space is shaping my vision of building systems that are not only technically advanced but also efficient, accessible, and globally impactful.
