I have experience with several programming languages including Java, Python, and JavaScript. In my previous role, I used Java for backend development, Python for data analysis, and JavaScript with React for frontend development. I am also familiar with technologies such as Docker, Kubernetes, and AWS.

I start by thoroughly understanding the problem and reproducing the issue. I then use a systematic approach, such as the scientific method, by forming hypotheses and testing them one by one. I also utilize logs, debugging tools, and sometimes pair programming to identify and resolve the problem efficiently.

Certainly! One project I worked on involved developing a recommendation system. Simply put, it uses user behavior and feedback data to predict and suggest products or content that users might like. We employed machine learning algorithms to create these predictions based on patterns found in the data.

I follow best coding practices, such as writing clean, modular, and well-documented code. I also prioritize writing unit tests and performing code reviews. Additionally, I frequently refactor code to improve its readability and efficiency without changing its functionality.

In a recent project, I had to learn and implement GraphQL instead of REST for our API. To get up to speed, I took an online course, read documentation and tutorials, and experimented with small projects. Within a few weeks, I was able to successfully integrate GraphQL into our system, which greatly improved our data fetching capabilities.

I prioritize tasks based on their urgency and importance, breaking down larger tasks into manageable chunks. Effective communication with team members and stakeholders is crucial to ensure everyone is aligned. I also make sure to take short breaks to maintain my focus and avoid burnout, ultimately delivering high-quality work efficiently.