I'm Prasanna Sand, a Full Stack Software Engineer with a background in Computer Science and an MBA in Finance. I build scalable web systems, AI-driven applications, and developer-focused tools that bridge accessibility, performance, and functionality. My expertise spans backend APIs, distributed databases, mobile-first applications, cloud infrastructure, and AI-powered user experiences. I enjoy solving real-world problems through code β from building distributed DuckDB extensions to deploying inclusive Chrome Extensions for neurodivergent users. I actively contribute to hackathons and open-source initiatives, with research publications in computer vision and IoT. I thrive in collaborative, high-growth environments that combine creativity with engineering rigor.
Developed a Chrome extension using React and Gemini API to adapt web pages for neurodivergent users (ADHD, Autism, SPD). Implemented user-role authentication and integrated Firebase for personalized accessibility. Enabled summarization, font adjustments, and dynamic DOM overlays.
Built an extension for DuckDB to support distributed and hybrid query execution across multiple nodes. Designed a framework for data partitioning and adaptive query planning based on hardware variability and network conditions.
Classified badminton shots using OpenPose-based skeleton keypoints from videos. Engineered joint angles and shot trajectory features. Trained Random Forest, SVM, and LSTM models achieving 87% accuracy. Enabled athlete feedback in real-time.
Developed a holistic React Native and Firebase-based app integrating QR payments, goal-based savings, and Gemini-powered conversational AI to support financial literacy and decision-making for underbanked communities.
Built a personalized food recommendation platform using Express.js, React, and Docker. Tailored meals based on health profiles and dietary restrictions with scalable backend using Node.js and MongoDB.
Frugal Innovation Hub β Santa Clara University
NextLeap Aeronautics
Santa Clara University
Savitribai Phule Pune University
MIT World Peace University
International Journal for Research in Engineering Application & Management (IJREAM) | May 2021
Prasanna Sand, et al.
Authored a research paper on an innovative brainwave-controlled wheelchair system designed to improve mobility and safety for individuals with severe coordination disabilities. The paper highlights EEG-based attention detection, Morse code communication via eye blinks, and adaptive obstacle detection using IoT.
International Journal of Engineering Applied Sciences and Technology (IJEAST) | September 2021
Prasanna Sand, et al.
Coβauthored a paper exploring drone-based and ML-enhanced computer vision techniques for crop health monitoring, weed detection, yield estimation, and environmental sensing using aerial image segmentation and convolutional neural networks.
Amazon Web Services
August 2024