I've gained hands-on experience through internships focused on full stack development, cloud infrastructure, and large-scale data handling; projects centered on systems engineering, machine automation, and information processing; and research in deep learning and computer vision. These diverse experiences have given me a well-rounded technical foundation with years of experience.
My technical strengths span across programming, data science, and modern development frameworks. I am fluent in languages such as Python, C++, JavaScript, and TypeScript, with extensive practice building web applications using React, Node.js, Express, and PostgreSQL. I also have experience working with Docker, AWS cloud services, and MongoDB for managing data through scalable solutions. I've also employed tools such as Pandas and FAISS to analyze, organize, and interpret complex datasets. On the research side, I've applied deep learning frameworks, computer vision models like YOLO and LSTM Pose Machines, and tools such as Pandas for data analytics. Together, these skills make me confident in tackling both software engineering and AI-driven solutions.
Beyond technical proficiency, I value the importance of adaptability and collaboration. Working on interdisciplinary teams and a variety of situational goals have shown me how critical clear communication and leadership are when integrating diverse skill sets and requirements to achieve a singular goal. For example, leading backend development in a startup-oriented project taught me how to align technical design with business goals, while participating in academic research helped me refine my analytical thinking and attention to detail. Working on a web application with so many parts from scratch highlighted the importance of adaptability and research.
My areas of interest lie in data science, artificial intelligence, and automation. I am fascinated by how intelligent systems can reduce workflow complexity, enhance decision-making, and aggregate insights from large datasets. With an academic background that combines computer science, mathematics, statistics, and cybersecurity, I approach problems with both a strong analytical mindset and a focus on reliability and security. Essentially, my goal is to design solutions that are not only technically sound but also impactful, making processes smarter, faster, and more efficient.