I'm a Machine Learning and Data Engineering practitioner with experience deploying deep learning models using scalable microservices. My work spans Python, full-stack development, and end-to-end data workflows, combining ML research with real-world production engineering.
I’ve built production-grade AI systems including an ocular cancer detection platform using EfficientNetV2, a crypto forecasting engine powered by Stacked LSTMs, and a voice-first Android app with GPT-4o. I focus on delivering fast, reliable inference pipelines, secure backend architectures, and complete solutions built with FastAPI, Node.js, React, and robust database systems.
