I’m currently a Computer Science student and active Software Engineer specializing in AI and Machine Learning, combining rigorous academic training with real-world development experience. Being a student means I’m deeply immersed in algorithms, data structures, system design, probability, statistics, and linear algebra every day — and I apply that mathematical and theoretical depth directly to the systems I build. I develop scalable, secure, and production-ready software, including backend architectures, APIs, performance-optimized systems, and end-to-end machine learning pipelines such as predictive models and NLP solutions. I approach projects with an algorithm-first mindset, focusing on correctness, efficiency, and long-term maintainability. If you’re looking for someone who is technically sharp, research-driven, fast-learning, and up to date with modern AI and software engineering practices, I’m ready to help you turn complex ideas into robust, intelligent systems.