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Shadan

Ahmad Shadan Taiyabi

ORBIT

// Identification_Data

I build intelligent, scalable systems at the intersection of AI, backend engineering, and cloud architecture.

As a pre-final year B.Tech Computer Science student specializing in Cloud Computing and Virtualization Technology at UPES, Dehradun, I design production-ready applications using AWS and modern backend technologies. I focus on solving real-world problems through AI-driven systems, clean architecture, and scalable design.

Always building. Always improving. Always aiming for impact.

View Resume
View GitHub

LOGS

// Operational_History

Software Engineer Intern

2025 - Present

Innoventory Solutions

Engineered high-availability backend microservices. Optimized database queries reducing latency by 40%.

PHPSystem DesignSecurity

Social Intern

2024

Roots2Bloom

Analyzed digital engagement metrics and implemented automated reporting tools for community growth.

AnalyticsAutomationStrategy

SYSTEMS

// Deployed_Units

01
Live DemoTop 45

Nagar Rakshak

Top 45 in Internal Smart India Hackathon 2025

AI-enabled civic complaint system with GPS-based issue reporting, live tracking, and automated severity classification. Built using React (Vite), TypeScript, Supabase, and PostgreSQL.

  • • Implemented AI-based issue prioritization and multilingual complaint support
  • • Integrated real-time updates and community upvoting
  • • Designed scalable backend with secure auth and structured complaint workflow
ReactTypeScriptSupabasePostgreSQLAI/ML
02
Top 5

Agrasar

Top 5 in Udhbhav Uttrakhand AI Hackathon (Level 1)

An integrated digital platform connecting rural citizens with government schemes, grievance systems, and local opportunities.

  • • Developed "GramSathi" – multilingual AI chatbot for citizen assistance
  • • Built modules for scheme discovery, tracking, and grievance redressal
  • • Designed scalable data architecture for structured public service workflows
Gen-AIFull StackCloudMultilingual AI
03
AWS

Serverless Image Processing System

AWS

Cloud-native application leveraging AWS Lambda, S3, IAM, and Rekognition for automated image processing.

  • • Implemented serverless workflows for resizing, grayscale conversion, object detection, and text extraction
  • • Enabled S3 versioning and secure IAM role-based access
  • • Optimized Lambda resource handling for large image processing
AWS LambdaS3RekognitionIAMServerless

CAPABILITIES

Java

Python

AWS

Backend

AI/ML

Cloud Computing

SQL

PHP

Docker

DevOps

APIs