The content on this page was generated with the help of GenAI tools based on my background, interests, and goals.
A: My interest in AI started during my undergraduate studies, where I was drawn to courses on machine learning, artificial intelligence, and statistics. Over time, I realized I enjoyed solving data-driven problems and understanding how models behave in real-world settings.
A: I worked on deep learning models for sentiment analysis, text prediction, and multilingual input systems. This included training CNNs and Bi-LSTMs, optimizing models for mobile devices, and improving latency and accuracy for real-time user experiences.
A: Projects like Twitter Sentiment Analysis, Home Credit Default Risk, and Swipe Typing capture my current interests. They combine NLP, structured data modeling, and sequence modeling, and they emphasize both model quality and performance.
A: I want to deepen my understanding of ML systems end to end: data pipelines, model training, deployment, and monitoring. I'm especially interested in roles where I can work on real products, collaborate with strong engineering teams, and keep learning new tools and frameworks.
A: I see web development as a practical way to deliver AI capabilities to users. Being comfortable with both sides lets me build interfaces, dashboards, or interactive demos that make machine learning work more accessible and impactful.