I am a Machine Learning Engineer with experience spanning research, startups, and industry. I have worked across diverse AI/ML domains, including computer vision, geospatial AI, deep learning optimization, and hyperspectral imaging. My journey includes research at Carnegie Mellon University, where I explored bacteria growth analysis using Transformer-based video analysis, and industry roles at NVIDIA, Skylark Drones, and ImagoAI, focusing on AI applications in geospatial intelligence, recommender systems, and food-tech. I co-founded Foodifyy, a machine-learning-driven health-tech startup, where I led AI development and helped the team get shortlisted for the Google Startup Bootcamp among 1500+ applicants. My technical expertise includes computer vision, deep learning, generative AI, and large-scale AI deployments, with hands-on proficiency in TensorFlow, PyTorch, OpenCV, AWS, and Docker. I thrive at the intersection of AI and business, continuously seeking impactful applications of machine learning in real-world scenarios.