Prasanna Sand
Software Engineer
Full Stack Engineer, showcasing advanced systems, AI solutions, and impactful projects
About Me
I'm 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 — from building distributed DuckDB extensions to deploying inclusive Chrome Extensions for neurodivergent users.
Skills & Technologies
languages
cloud devops
frameworks
databases
core competencies
big data
Quick Facts
Always building. Always learning.
My Projects
Here are some of my recent projects that showcase my skills and experience

BrowseAble – AI Accessibility Chrome Extension
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.

Distributed and Hybrid Query Engine for DuckDB
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.

Badminton Shot Classification using ML
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.

AllBank – AI-Driven Inclusive Banking Solution
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.

DevC 2.0 – AI Food Ordering Hackathon App
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.
My Journey
My professional experience, education, research, and achievements
Full Stack Developer
Frugal Innovation Hub – Santa Clara University
Developed and deployed cross-platform applications using Flutter, Firebase, and Node.js, owning both frontend UI and backend service layers. Designed modular architecture (presentation, domain, data layers), improving code maintainability and enabling 85%+ unit test coverage. Automated CI/CD pipelines with GitHub Actions, supporting multi-platform builds and streamlined QA workflows. Collaborated with stakeholders to define technical solutions from evolving product requirements, delivering stable and scalable features.
Computer Vision Intern
NextLeap Aeronautics
Implemented YOLO-based UAV obstacle detection for trees, powerlines, and buildings in real-time onboard systems. Prototyped Gabor, PCNF, and Hough-based power line detection for energy corridor navigation. Explored stereo vision (Pushbroom) and multi-sensor fusion for return-to-home in GPS-denied scenarios.
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