I have a strong foundation in Data Science with five years of formal training, covering data cleaning, exploratory data analysis, statistical methods, and machine learning model development.
Currently, I work as a GenAI Developer, building real-world applications using Retrieval-Augmented Generation (RAG) systems and LangGraph-based agent workflows for production use cases.
During my academic experience at IIIT Bangalore, I worked on a medical image segmentation project using deep learning, where I implemented a U-Net architecture and gained hands-on experience with pixel-level segmentation and the practical differences between classification and segmentation tasks.
This combination of classical machine learning, deep learning, and modern GenAI systems allows me to design end-to-end intelligent solutions.