I'm passionate about R&D at the intersection of AI and real-world problem-solving, especially in domain-specific contexts where multidisciplinary thinking is key. My core interests include optimization trade-offs, AI alignment and interpretability, and applying ML to impactful fields like healthcare accessibility and computational neuroscience. I'm also deeply curious about cybersecurity and enjoy exploring it through self-study. I gravitate toward building efficient, reliable ML systems that balance innovation with responsibility.