Professional Summary
I am an AI Researcher & Developer(Student) specializing in deep learning, natural language processing, computer vision, and generative models, with experience in fine-tuning and optimizing AI systems for real-world applications. My work focuses on developing AI-powered solutions in healthcare, sustainability, and urban resilience, integrating geospatial intelligence and remote sensing to tackle global challenges.
I have developed AI-powered tools like MedScan AI, a healthcare assistant for medical image and prescription analysis, and EcoBuild, a sustainable architecture optimization tool that leverages GIS and AI for climate-responsive design. As a NASA International Space Apps Challenge 2024 Global Winner, I co-developed Eco-Metropolis, an AI-driven urban planning simulation that models sustainability strategies, disaster resilience, and circular urban systems.
Beyond technical implementation, I am deeply invested in the responsible deployment of AI—ensuring models are interpretable, ethical, and accessible. I thrive on tackling complex challenges, whether refining AI reliability in medical diagnostics or applying machine learning to geospatial data for environmental monitoring and urban sustainability.
My goal is to drive AI innovation with real-world impact, advancing AI applications in public health, sustainable cities, and resource-efficient systems. I aim to bridge the gap between cutting-edge research and practical, human-centered solutions, leveraging AI to enhance both healthcare and planetary resilience.