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Sandana Sureshvaran

@sandana_1918

Sandana Sureshvaran

@sandana_1918

React
Skill iconMongoDB
Machine Learning
Electron
Amazon Cloud

Vijayawada, India

I enjoy working in team environments where ideas turn into real, usable products. I’ve worked on complete systems rather than just concepts, contributing to projects that integrate hardware and software into a single, functional solution.
My experience includes full-stack development across frontend and backend, as well as connecting applications with cloud services for deployment and scalability. I’m comfortable collaborating with cross-functional teams, communicating ideas clearly, and taking ownership of my part of the system while keeping the bigger picture in mind.
One such project is Weel, a smart macro pad with a companion cross-platform desktop application built using Electron, Next.js, and TypeScript, designed for configuration, customization, and workflow control. The system bridges custom ESP32 hardware with Windows OS commands over Bluetooth Low Energy, uses a secure multi-process Electron architecture with IPC for sensitive OS-level operations, and supports drag-and-drop macro creation with multi-action workflows and global hotkeys, including Windows-specific integrations using PowerShell.
Another major project is SandSight, an automated beach sand grain-size mapping system developed as part of Smart India Hackathon 2025, where we were finalists working on a real government problem. SandSight integrates a Raspberry Pi–based imaging system with a three-wheeled rover, GPS, and a full-stack web platform for waypoint navigation, system health monitoring, and cloud-based image storage. Image data is processed using computer vision and machine learning pipelines built with OpenCV and deep learning models to estimate D10, D50, and D90 grain-size metrics with high accuracy, while a web dashboard visualizes geotagged results in real time.
What drives me is building practical, end-to-end systems that work in the real world and continuously improving them through iteration and feedback.