Rudra Sanandiya

About Me.

Get to know me better

I'm a passionate Computer Science student at Nirma University, Ahmedabad with a strong foundation in Software Development. I specialize in building scalable applications using Node.js, Express.js, and MongoDB, delivering clean code and exceptional user experiences.

With a keen eye for detail and a love for elegant solutions, I transform complex problems into simple, beautiful, and intuitive designs. I enjoy competitive programming, having solved 500+ problems on Codeforces and LeetCode.

0 CGPA

0 Problems Solved

0 JEE Percentile

Building Cool Stuff

Projects.

A selection of my recent work

Relay

Zero-Knowledge E2EE Real-Time Chat Application

End-to-end encrypted messaging where the server never sees your messages — powered by NaCl cryptography & real-time Socket.IO.

ReactNode.jsExpress.jsMongoDBSocket.IONaClBIP39

A production-ready, full-stack real-time messaging platform with true zero-knowledge end-to-end encryption. Messages are encrypted client-side using NaCl box (X25519 + XSalsa20-Poly1305) before transmission — the server never sees plaintext. Features BIP39 recovery phrases, contact request system, and real-time presence.

                      Zero-Knowledge E2EE
                      NaCl box + BIP39 recovery
                    

                      Real-Time
                      Socket.IO + typing indicators
                    

                      Arcjet Security
                      Bot detection + rate limiting
                    

                      Email Verification
                      OTP + password reset flow
                    

DocuVault

Cloud Document Management System with AI-Powered RAG

AWS-powered document vault with drag & drop uploads, smart sharing, real-time analytics, and an AI Document Q&A system using Retrieval-Augmented Generation — powered by Groq's Llama 3.3 70B.

ReactNode.jsFastAPIMongoDBGroq AIQdrantAWSHuggingFace

AWS-powered document vault with drag & drop uploads, smart sharing via password-protected links, real-time access analytics, and an AI document Q&A system using Retrieval-Augmented Generation (RAG). Ask natural language questions about your documents and get cited answers powered by Groq's Llama 3.3 70B LLM.

                      AI Document Q&A (RAG)
                      HuggingFace BGE-M3 embeddings, Qdrant vector search, Groq Llama 3.3 70B with source
                        citations
                    

                      AWS Production Architecture
                      Amplify + Elastic Beanstalk + EC2 (c7i-flex.large) + CloudFront CDN + S3 + CloudWatch
                    

                      Smart Sharing
                      Password-protected links with granular permissions, expiration controls, and access
                        analytics
                    

                      Multi-Format Support
                      In-app preview for 18+ formats with intelligent AI processing pipelines per file type
                    

End Users

HTTPS

AWS Amplify React Frontend Auto-deploy on Git

HTTPS

AWS CloudFront CDN + HTTPS Proxy Solves Mixed Content

HTTPS → HTTP

AWS Elastic Beanstalk Node.js Backend t3.micro

MongoDB Atlas M0

AWS S3 Files · 20GB

CloudWatch Logs · JSON

AWS EC2 AI Service c7i-flex.large

HTTP

Qdrant Cloud Vectors

HuggingFace Embed

Groq LLM

Frontend

React Vite Tailwind CSS

Backend

Node.js Express.js MongoDB Atlas

AI Microservice

FastAPI Python Groq AI HuggingFace Qdrant

Cloud Infrastructure

AWS Amplify Elastic Beanstalk EC2 S3 CloudFront CloudWatch

JWT authentication with bcrypt encryption
Real-time AI processing status tracking
Drag & drop file uploads to S3
Chat interface with markdown rendering
Vector similarity search with user isolation
Automatic document chunking and embedding
Access analytics dashboard
XSS protection and input sanitization
Cascade deletion for share links
Mobile-responsive glassmorphism UI

Frontend AWS Amplify (auto-deploy from Git)

Backend API AWS Elastic Beanstalk (t3.micro, auto-scaling)

AI Service AWS EC2 Ubuntu (c7i-flex.large, systemd)

CDN AWS CloudFront (HTTPS proxy)

Database MongoDB Atlas (M0 Free Tier)

Storage AWS S3 (20GB)

Vector DB Qdrant Cloud (1GB Free Tier)

Monitoring AWS CloudWatch (JSON logs)

PetPooja Revenue Intelligence

AI-powered Restaurant Analytics Platform

AI-driven analytics that boost restaurant revenue with smart ordering via Llama 3, multi-channel voice commands & dynamic pricing.

Node.jsExpress.jsReactMongoDBLlama 3Twilio

Full-stack platform for restaurant analytics, AI-powered ordering, and revenue optimization. Features a custom analytics engine using BCG classification and association rule mining, AI ordering with Meta-Llama 3, and multi-channel ordering via Twilio Voice & Web Speech API.

                      AI Ordering
                      Meta-Llama 3 + fuzzy search
                    

                      Analytics Engine
                      BCG + association mining
                    

                      Multi-channel
                      Chat, Voice, Phone (Twilio)
                    

                      Revenue Boost
                      Dynamic pricing + upsell
                    

Heavenly

Full-stack Property Rental Marketplace

Airbnb-style rental platform with geolocation search, Cloudinary image hosting & secure Passport.js authentication.

Node.jsExpress.jsMongoDBPassport.jsCloudinaryMVC

A full-stack web application using Node.js, Express, MongoDB with MVC architecture. Features RESTful APIs, authentication with Passport.js, role-based access control, geolocation search using Nominatim API & GeoJSON clustering, and Cloudinary image management.

                      Secure Auth
                      Passport.js + RBAC
                    

                      Geolocation
                      Nominatim + GeoJSON
                    

                      Cloud Storage
                      Cloudinary integration
                    

                      XSS Protection
                      Joi + HTTP-only cookies
                    

FleetFlow

Modular Fleet & Logistics Management System

Smart logistics hub with automated fleet state machines, fuel analytics, ROI tracking & role-based access for 4 user types.

ReactNode.jsExpress.jsMongoDBRechartsJWT

A centralized, rule-based digital hub for delivery fleet management. Features automated vehicle/driver state machines, cargo weight validation, license compliance checks, fuel efficiency analytics (km/L), vehicle ROI tracking, and CSV/PDF export — all with role-based access for 4 user types.

                      Fleet Lifecycle
                      Automated state machine
                    

                      RBAC
                      4 roles with middleware guards
                    

                      Analytics
                      ROI, cost/km, fuel efficiency
                    

                      Validation
                      Cargo weight + license expiry
                    

Diffie-Hellman Key Exchange

Cryptographic Protocol Simulation in C++

Secure key exchange from scratch — implementing the classic DH protocol with modular arithmetic & clean CMake architecture.

C++CMakeCryptographyModular Arithmetic

A modular C++ implementation of the Diffie-Hellman key exchange protocol. Simulates how two parties establish a shared secret over an insecure channel without revealing private keys. Features manual modular exponentiation, clean header/source separation, and cross-platform CMake build support.

                      Key Exchange
                      Discrete logarithm problem
                    

                      Math Engine
                      Manual modular exponentiation
                    

                      Build System
                      CMake cross-platform
                    

                      Clean Architecture
                      Header/source separation
                    

Skills & Expertise.

A collection of technologies I'm proficient with

Languages

C

C++

Python

Java

JavaScript

Databases

MongoDB

MySQL

Frontend

HTML

CSS

Tailwind CSS

Bootstrap EJS

Backend

Node.js

Express.js REST APIs MVC Arch

Socket.IO

Core CS

DSA OOP OS DBMS Networks & Security

Tools

Git

GitHub

Linux

Postman AWS Railway Cloudinary

Experience.

My professional journey

Teaching & Community Volunteer

Civic & Social Service Internship (CSSI)

Paneli, Gujarat

June 2024 – July 2024

Taught computer fundamentals to 20+ students across 4-week structured sessions.
Coordinated daily student assemblies and administrative tasks for a campus of 300+ students.
Collaborated with 5+ faculty members to support academic and extracurricular operations.
Developed communication, leadership, and teamwork skills in a structured community environment.

TeachingComputer ScienceLeadershipCommunication

B.Tech in Computer Science & Engineering

Nirma University

Ahmedabad, Gujarat

2023 – 2027 (Expected)

Current CGPA: 8.38
Coursework: Data Structures & Algorithms, Operating Systems, DBMS, OOP, Computer Networks

B.Tech CSECGPA 8.38

Class XII (PCM)

Krishna International School

Rajkot, Gujarat

May 2023

Board Score: 90%
JEE Main: 97.58 Percentile

PCM90%JEE 97.58%ile

Achievements.

Milestones & recognitions

Proposed CitizenConnect, a civic-tech platform for GPS-tagged public issue reporting, automated escalation, and department credibility scoring to enhance urban governance.

Secured 2nd Runner-Up among 400+ teams (2300+ registrations) as part of team Delta Force. Built a real-world AI restaurant analytics platform featuring a Llama 3 ordering assistant and a custom BCG classification engine under tight time constraints.

Consistent problem solver with 430+ problems solved. Strong grasp of data structures and algorithms, actively participating in weekly contests and tackling complex edge-case reasoning.

Pupil rating achieved through regular participation in global rounds, honing competitive programming skills in mathematics, greedy algorithms, and dynamic programming.

Get In Touch.

Let's build something great together

I'm currently looking for internship opportunities and am open to collaborating on interesting projects. Whether you have a question, a project idea, or just want to say hi — feel free to reach out!

rudrapatelrds09@gmail.com LinkedIn Twitter GitHub LeetCode Codeforces

About Me.

Projects.

Relay

DocuVault

PetPooja Revenue Intelligence

Heavenly

FleetFlow

Diffie-Hellman Key Exchange

Skills & Expertise.

Languages

Databases

Frontend

Backend

Core CS

Tools

Experience.

Teaching & Community Volunteer

B.Tech in Computer Science & Engineering

Class XII (PCM)

Achievements.

Tata Imagination Challenge 2025

HACKaMINeD Hackathon

LeetCode

Codeforces

Get In Touch.