Vikram Babariya

Executed a 12-month, full-time engineering sprint focused exclusively on mastering cloud-native architecture, DevSecOps, and SRE Maturity Level 3 principles, anchored by the development of a production-grade AWS serverless platform.

• Engineered a Zero-Trust Resume-as-Code (RaC) delivery platform (GitHub Actions, Terraform-managed AWS infrastructure), deprecating long-lived IAM keys in favor of OIDC identity federation across 100% of deployments — guaranteeing zero-downtime delivery via automated CloudFront edge cache invalidation.
• Eliminated all ClickOps provisioning by authoring a fully declarative Terraform codebase across five focused modules, bringing every AWS and Cloudflare resource under version-controlled, peer-reviewed infrastructure — reducing DR recovery to a single terraform apply.
• Slashed MTTR and eliminated pipeline compute waste by architecting Shift-Left Quality Gates, utilizing semantic validation frameworks (ajv-cli, yamllint) to enforce a strict "Fail Fast" data contract before any artifact compilation.
• Enforced rigorous FinOps guardrails by hard-capping serverless AWS infrastructure exposure at ₹500 INR/month, optimizing Total Cost of Ownership (TCO) across the full stack.

• Architected a Django-based Unit Resolution module for an enterprise Register Map Platform, automating analog-to-digital data translations while integrating strict API quality gates and comprehensive server-side logging to guarantee data integrity.
• Engineered a Node.js orchestration engine to dynamically parse and execute Python test vectors within managed, ephemeral virtual environments, implementing runtime call-stack inspection to enforce "Fail Fast" validation on I2C/UART hardware operations.

• Architected a scalable Wafer Visualization Platform by integrating Snowflake with Django, implementing multi-threaded data ingestion to process 100+ massive datasets concurrently and reducing defect analysis time from hours to minutes.