# Rahul Shah

> AI Full Stack Developer | AI Agents | Backend and Infra | AWS | DevOps | TypeScript| Python | Go | MSCS  @ ASU

Location: San Francisco, California, United States
Profile: https://flows.cv/rahulshah

I am a Full Stack Developer with 4 years of experience building high-scale, production-grade distributed applications. My expertise spans JavaScript/TypeScript, Python, Go, and React, with a strong foundation in cloud computing, DevOps, and AI-driven applications.  

At Arizona State University, I developed AI-powered full-stack platforms, enabling 10,000+ users to interact with multiple LLMs seamlessly. My work involves optimizing MLOps pipelines, Kubernetes deployments on AWS, and enhancing OpenSearch performance for real-time search and analytics.  

Previously, at Allegion (Schlage), I designed and scaled distributed systems handling 100,000+ concurrent users, migrated monoliths to microservices, and built automated CI/CD pipelines that accelerated deployment cycles. I also led cloud automation efforts, optimizing multi-region database replication and data processing pipelines.  

I thrive in fast-paced environments, quickly adapt to new technologies, and love solving complex technical challenges. Whether it's optimizing backend performance, scaling cloud infrastructure, or building intuitive user experiences, I bring a results-driven approach to every project.  

I am actively seeking full-time Software Development Engineer (SDE) roles where I can contribute my skills to building scalable, high-impact solutions. Let’s connect reach out at rshah107@asu.edu.

## Work Experience
### Software Engineer @ Solutions Unified
Jan 2024 – Present | New Jersey, United States

### AI Full Stack Developer @ Technology at Arizona State University
Jan 2024 – Jan 2025 | Tempe, Arizona, United States
• Developed ML pipelines for LLM applications on AWS using Docker and Terraform.
• Built AI/ML platform for ASU faculty with React.js, DynamoDB, and AWS Lambda.
• Optimized Milvus vector database performance and implemented efficient data ingestion strategies.

### Software Engineer II @ Allegion
Jan 2022 – Jan 2023 | Bangalore Urban, Karnataka, India
- Enhanced Engage mobile app with Redux, reducing response times by 30% and boosting overall 
    responsiveness by 20%
- Developed RESTful APIs for IoT device communication, managing 100,000+ concurrent users 
    seamlessly.
- Implemented automated CI/CD workflows, resulting in a 25% reduction in project delivery time, and 
    engineered a robust Automation Framework for web and mobile app testing, reducing manual efforts 
    by 70%.

### Software Engineer I @ Allegion
Jan 2020 – Jan 2022 | Bengaluru, Karnataka, India
- Developed a Python tool for Azure DevOps Data Mining, reducing manual scraping by 40% through 
   seamless integration of Azure APIs.
- Engineered a Python and React-based Card-Simulator tool with VirtualBench integration, eliminating 
   the need for over 30 physical card types.
- Spearheaded the creation and deployment of a React and Node.js web application, centralizing 
   document storage and enabling online documentation for the software team.


## Education
### Master of Science - MS in Computer Science
Arizona State University

### B.E in embedded electronics
Shri Dharmasthala Manjunatheshwara College of Engineering and Technology (SDMCET)


## Contact & Social
- LinkedIn: https://linkedin.com/in/rahul-shah17
- Website: https://rahulshah-phi.vercel.app/

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Source: https://flows.cv/rahulshah
JSON Resume: https://flows.cv/rahulshah/resume.json
Last updated: 2026-04-05