About Me

As a highly skilled and dedicated Backend Developer, I have a passion for utilizing cutting-edge technologies, such as Ruby on Rails, Python, Git, and AWS, to bring innovative projects to life. With a strong background in NLP, I have a deep understanding of the complexities involved in web crawling, text analysis, and data clustering.

Throughout my career, I have had the opportunity to work on a variety of exciting projects, including the creation of a web crawler for OTT websites and review websites, utilizing the Bing Websearch API to gather reviews for movies and TV series, and utilizing the Youtube Data API to match trailers to the corresponding movies and TV series. I have also leveraged the Universal Sentence Encoder (TensorFlow) to cluster movies and TV series plots, allowing me to find which movies and TV series belong to the same genre.

Additionally, I have utilized AWS Elasticsearch to create a movie search algorithm that enables users to search for movies based on keywords or genres, and to create a movie similarity model for movie recommendation purposes using the function score. I have also leveraged Google Trends to generate a list of the top 10 trending movies or TV series. I have utilized the Bing API to gather statistics on keywords, further demonstrating my ability to develop and implement effective solutions.

Furthermore, I have experience in integrating python code into a Ruby project using Flask, and have worked with AWS Sagemaker to run machine learning algorithms. With a proven track record of delivering successful projects, I am confident in my ability to bring value and expertise to any team or organization.