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SIDDHARTH MEHTA

• Software Engineer •

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ABOUT ME

Hey there! I'm Siddharth, a Master's student in Computer Science at Arizona State University, where I'm pushing the boundaries of what's possible with AI and cloud technologies.

As a Founding Engineer at a stealth startup, I architect scalable platforms that blend cutting-edge AI with elegant user experiences. My passion lies in creating systems that not only work flawlessly but inspire and delight users.

When I'm not crafting code, you'll find me leading the AI Society at ASU, mentoring the next generation of AI innovators, or diving deep into research on Large Scale Enterprise Software Development.

20+ Projects
4+ Years Experience
10k+ Why is this not working?
1.6K+ AI Society Members

TECHNICAL ARSENAL

Languages

Python C/C++ Java JavaScript (ES6+) TypeScript SQL

Backend

Node.js Express.js Django FastAPI GraphQL REST APIs WebSockets Microservices JWT OAuth

Frontend

React Flutter Next.js Tailwind CSS HTML5 CSS3

AI/ML

PyTorch TensorFlow LangChain OpenAI API Hugging Face Keras

Cloud/DevOps

AWS Firebase GitHub Actions NGINX Vercel Docker CI/CD Kubernetes Terraform

Database

PostgreSQL MySQL MongoDB Redis

Mobile-Development

Flutter Kotlin

EXPERIENCE

Founding Engineer

Stealth Startup May 2025 – Present
  • Architected and deployed a scalable React + TypeScript + Firebase platform with modular design, achieving 30% faster load times and a 95% Lighthouse performance score
  • Engineered an AI-driven decision engine using OpenRouter APIs with custom caching layers, delivering real-time adaptive recommendations with 25% improved inference efficiency
  • Implemented enterprise-grade authentication and multi-tenant data isolation with Firebase Auth and Firestore security rules

Director

AI Society, ASU Aug 2025 – Present
  • Leading strategy and operations for 1,600+ member AI community, fostering innovation and collaboration
  • Spearheading the AI Makerspace program where students build real-world AI projects and contribute to internal technical initiatives
  • Organizing workshops, hackathons, and guest speaker events with industry leaders

Resource Developer

Online Study Hub - Academic Support Network @ ASU Feb 2025 – Dec 2025
  • Supported 10,000+ ASU students, improving accessibility to academic help and scaling personalized learning through AI-driven tutoring systems.
  • Built production-grade AI tutor bots leveraging LLMs, RAG, and prompt engineering, with curated retrieval pipelines over academic content to ensure accurate, explainable, and high-quality tutoring at scale.

Software Developer Intern

SAHY Technopreneurs May 2024 – Aug 2024
  • Built a production-ready Stripe payment gateway on Django, improving checkout completion by 30% through optimized UX flows
  • Led migration of 100K+ records from MongoDB to PostgreSQL, enhancing data integrity and query performance
  • Optimized backend queries and database indexing, boosting API throughput by 20% and reducing response latency

PROJECTS

AI Nutrition Analyzer

Cross-platform mobile app using Flutter with AWS Rekognition and Claude AI for real-time food recognition and nutritional analysis. Achieved 90%+ classification accuracy with serverless architecture.

Flutter AWS Lambda Claude AI DynamoDB S3

Video Game Retailer Platform

Full-stack web application for digital game distribution featuring secure authentication, custom admin dashboards, and REST-based architecture for optimal scalability.

Python Django Bootstrap JavaScript PostgreSQL

Robotic Arm Control System

Research project implementing Genetic Algorithm-optimized Super Twisting Sliding Mode Controller for 2-DOF robotic arms, published at IEEE TENCON 2025. Achieved superior tracking accuracy and robustness.

Python Control Theory Genetic Algorithms Lyapunov Analysis

Housing Price Predictor

Machine learning model using Random Forest Regression to predict California housing prices with high accuracy and comprehensive data analysis.

Python scikit-learn Pandas Matplotlib

Self-Driving Vehicle

Autonomous vehicle system designed for differently-abled individuals, incorporating advanced sensors, computer vision, and AI algorithms for safe navigation.

AI/ML Computer Vision Hardware Sensors

AI Discourse Analysis on Mastodon

Analyzed large-scale Mastodon discussions on artificial intelligence by collecting and modeling 600+ posts and 200+ users, combining social network analysis with LLM-based content extraction to uncover patterns in AI-related discourse.

LLMs Social Network Analysis Python NetworkX Gephi OpenRouter API

Digital Twin for Wildfire Impact Assessment

Built a county-level digital twin for wildfire impact assessment by fusing multi-source data (SHELDUS, FEMA NRI, climate data, Reddit, and news) to predict property damage severity across 1,020 wildfire events in 125 counties across the western United States.

Machine Learning Digital Twins Ensemble Models Social Media Mining LLMs Python

LET'S CONNECT

I'm always excited to connect with fellow developers, researchers, and innovators. Whether you want to collaborate on a project, discuss AI, or just say hi — reach out!

smehta74@asu.edu LinkedIn X / Twitter Ping Me

RESUME

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