I am a seasoned software developer. My foundation is strong in Python programming. I hold a Ph.D. in Computer Science. My specialization is Artificial Intelligence. I bring extensive experience across diverse technology domains. My academic journey includes a Master's in IT and a Bachelor's in Software Engineering. This is complemented by practical experience. I've worked in industrial and academic settings. My roles included web designer, software developer, and programming mentor. My core expertise is in Python development. I have built robust web applications extensively. Frameworks used include Django, Flask, and FastAPI.
I possess advanced skills in database management. My specialties are PostgreSQL, Redis, and MongoDB. On the front-end, I am proficient in crafting modern interfaces. These interfaces are visually appealing. I use HTML, CSS, and the Tailwind CSS framework. Beyond web development, I am deeply engaged in Data Science. I apply machine learning methodologies. I also use deep learning to solve complex challenges. This involves processing and analyzing large datasets. I develop advanced predictive models as well.
My Data Science experience includes working with time-series data. I have significant expertise in image processing. Object detection is another area of my expertise. I leverage powerful tools like OpenCV and TensorFlow. I also use PyTorch to create intelligent systems. These systems accurately recognize and classify objects. Currently, I apply these skills to pipeline inspection data analysis. This is within the oil and gas industry. I utilize advanced machine learning techniques. I also use artificial intelligence techniques. My goal is to identify pipeline defects. I aim to enhance operational efficiency. Improving predictive maintenance strategies is also key.
My passion for technology aligns with environmental sustainability. My undergraduate project focused on 3D animation. Its purpose was to promote environmental protection. This showed my early commitment to ecological awareness. Furthermore, my master's thesis explored sentiment analysis. This was in social networks. I used a hybrid approach for this. It combined Deep Belief Networks (DBN). It also used Long Short-Term Memory (LSTM) models. This showcased my expertise in natural language processing (NLP). It also highlighted my skills in deep learning in a social context.
My technical proficiency encompasses automation. Web scraping is another area of my skills. I utilize Selenium for efficient data extraction. I also use it for interaction with web content. I am experienced in containerization with Docker. I have experience with task queuing. I use Celery and RabbitMQ for this. This helps in building scalable applications. Additionally, I possess strong Linux-based system administration skills. With a robust foundation in artificial intelligence, software development, and data science, I continuously strive to push technological boundaries. I aim to deliver innovative solutions. These solutions contribute to progress in industry. They also support environmental sustainability.