AI/ML Engineer and Full-Stack Developer

Highly adaptable aspiring engineer with a strong foundation in computer science and a passion for applying AI/ML to real-world challenges. Successfully combined academic excellence with practical experience through internships and projects. Expertise spans machine learning model development, deep learning for image processing and climate prediction, full-stack development (web technologies), and data analysis/visualization. Seeking a challenging role to leverage technical skills and research experience in a collaborative and innovative environment. Key Highlights: - Interned at DRDO, contributing to AI/ML projects aimed at enhancing national security. - Engineered machine learning and deep learning systems for diverse applications including predictive modeling and automated data processing. - Integrated full-stack development, AI, and cybersecurity for an AI-powered real estate listing and valuation system. - Selected as a delegate for the Harvard College Project for Asian and International Relations (HPAIR) Asia Conference 2024, joining a community of global leaders and changemakers. - Ongoing collaboration with a professor from Florida State University on AI/ML projects addressing environmental and climatic challenges. - Organized a national technical fest attended by 500+ students, showcasing leadership and team coordination. - Upcoming publications on advanced classification techniques, predictive modeling, and integrative ML approaches.