Prabhu Teja Reddy User

I've built a Python deep learning application for diabetic retinopathy detection, classifying five severity grades with 87.5% test accuracy. I used CNNs and GANs to improve class balance and documented the model architecture, implementation, and results.

I've also designed a relational SQL database for an online shopping system, creating reporting queries, constraints, indexes, and transactional test data. My projects include an Arduino-based water quality and leakage detector using pH and flow sensors, LCD alerts, and Embedded C.

Alongside software work, I designed and simulated a low-power 18 nm FinFET operational amplifier in Cadence Virtuoso for biomedical sensing applications. I'm eager to contribute my Python, OOP, Git, problem-solving, and teamwork skills in agile software development teams.