Hello, I'm

Prasanna Sand

Software Engineer

Full Stack Engineer, showcasing advanced systems, AI solutions, and impactful projects

Ask me about my skills

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

Java
C
C++
JavaScript
TypeScript
Python
HTML
CSS
SQL
Swift
Bash

cloud devops

AWS
Google Cloud
Docker
Kubernetes
Git
GitHub Actions
Firebase
JIRA
Postman

frameworks

React
Angular
Node.js
Spring Boot
Flask
Express
Flutter
TensorFlow
Keras
OpenCV

databases

MySQL
DuckDB
MongoDB

core competencies

Full Stack Development
Design Patterns
Unit Testing
Microservices
Distributed Systems
High-Concurrency Optimization
REST APIs
Agile
AI/ML Model Integration
Database Systems
Storage Engines
Query Optimization

big data

Spark
Hadoop
Kafka
Kinesis

Quick Facts

0+
Years Coding
0+
Projects Built
Learning Never Stops

Always building. Always learning.

My Projects

Here are some of my recent projects that showcase my skills and experience

BrowseAble – AI Accessibility Chrome Extension
Featured

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.

ReactFirebaseGemini APIChrome Extension+1 more
Distributed and Hybrid Query Engine for DuckDB
Featured

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.

C++DuckDBDistributed SystemsQuery Optimization
Badminton Shot Classification using ML
Featured

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.

PythonOpenPoseScikit-learnLSTM+1 more
AllBank – AI-Driven Inclusive Banking Solution

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.

React NativeFirebaseGoogle GeminiNLP
DevC 2.0 – AI Food Ordering Hackathon App

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.

Node.jsExpressReactMongoDB+1 more

My Journey

My professional experience, education, research, and achievements

Full Stack Developer

Frugal Innovation Hub – Santa Clara University

Jan 2025 – PresentCurrent

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.

FlutterFirebaseNode.jsGitHub ActionsDocker

Computer Vision Intern

NextLeap Aeronautics

Jun 2020 – Aug 2020

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.

PythonOpenCVYOLOComputer VisionUAV

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San Jose, CA