I'm a Software Engineer who enjoys turning rough ideas into things that actually ship. My work spans full-stack development and applied machine learning — I've built end-to-end ML-powered applications (like an AI-driven plant disease classifier using TensorFlow and React.js) and shipped production web platforms that move real business metrics, including a 25% reduction in page load time through Core Web Vitals optimization.

I'm comfortable moving between Python for data-driven features and Java/Spring Boot for backend architecture — which lets me own a project from data pipeline through deployment, not just the frontend or just the API. Recent work includes leading full-cycle development of a live brand platform (VTU) with secure API integrations and automated data pipelines, and building Zenith, an NLP-powered chatbot with async request handling for low-latency responses.

I care about the "why" behind a feature as much as the code itself — bridging technical infrastructure with strategic business outcomes is what I actually enjoy doing. Always open to Full-Stack or Software Engineering roles where I can do both