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AI systems, architected
to scale

Hi, I'm Ayan Shah. I design cloud-native, AI/ML and data-intensive systems across AWS and Google Cloud, from the first diagram to production.

Understand

Turn technical requirements into a scalable approach across application, data, AI and infrastructure.

Architect

Design APIs, data flows, AI components and cloud deployment as one coherent system.

Ship

Containers, CI/CD and MLOps so it stays consistent and production-ready.

Scalable architecture

Cloud is the building code of an AI product.

Shared rules. Four layers. One system. Keep scrolling to take the building apart.

Build once.
Scale forever.
WorkSchedule a call

Better systems, smooth AWSGCPK8s workflow from prototype.

AI-generated data pipeline

View case study

Natural-language requirements in, executable data pipelines out.

  • Generates Python, SQL, Soda and Prefect
  • Orchestration, validation and live logs
  • Cron scheduling built in

Image-to-3D damage reconstruction

View case study

From a single image to a 3D model with severity and cost prediction.

  • Detection, segmentation, depth estimation
  • 3D reconstruction from an image
  • Severity and cost prediction, via FastAPI and CLI
Scalable systems

stack.

Shared rules. Infinite possibilities. Consistent structure.

  • ApplicationFastAPI, REST
  • DataAirflow, Prefect
  • AILLMs, RAG
  • InfrastructureAWS, GCP
From diagram
to prod:
  • Docker
  • Kubernetes
  • CI/CD
  • MLOps
Timeline
Mar to Jul 2022
Junior Web Developer
Jan to Nov 2024
Software Engineer
Sep to Dec 2025
Graduate Engineer Trainee
Jan 2026 to now
AI Engineer, Cloud and Infrastructure Services
Profile
Role
:Solution architect, AI engineer
Focus
:Cloud-native, AI/ML and data-intensive systems
Clouds
:AWS, Google Cloud
Layers
:Application, data, AI, infrastructure
Current
:AI Engineer, LTM (Jan 2026 to now)
Education
:B.E. AI and Data Science, VPPCOE, CGPI 8.47
Based in
:Mumbai, India
Contact
:shah.ayan2015@gmail.com

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