Asmitha Reddy

At Rectvia (Yotzeron Pvt. Ltd.), I built the customer UI and backend for a Smart Perfume Vending Machine, covering fragrance selection, blending, real-time pricing, Razorpay sandbox payments, Firebase inventory, and transaction logging.

I also integrated Raspberry Pi hardware with GPIO, relays, L298N drivers, pumps, valves, and sensors, improving system stability with an SMPS power subsystem. My work included vendor-admin dashboards, reporting, role-based access, Proteus simulations, and fault-safety validation.

For autonomous vehicles, I developed a DehazeFormer-S image and video dehazing pipeline using the RESIDE-IN dataset, PyTorch, and OpenCV. I evaluated restoration quality with PSNR and SSIM, compared training schedules, and documented the mathematical workflow through visual diagrams and Jupyter notebooks.

I've also built AI TravelMate with React.js, Flask, Google Maps, OpenWeather, and PostgreSQL, as well as a healthcare data management system using ER modeling, normalization, MySQL, SQL queries, and triggers. I enjoy owning work end-to-end and turning complex AI and engineering concepts into clear, practical systems and documentation.