Siddhant Rangari

Built Vertex AI multi-agent incident response system reducing estimated detection-to-report time from 85-170 minutes to about a minute.

Architected Fastify backend with 24 API route modules, PostgreSQL job queue using FOR UPDATE SKIP LOCKED, and 8 recurring cron loops. Built 6 async background workers with SSE progress tracking, provider fallback chains and atomic credit refunds for long-running AI tasks.

Built React/TypeScript trading platform and TimescaleDB pipeline, migrating 221K+ bars, 1.78M flow events and 824K depth ticks with zero data loss.

Took creator SaaS from architecture to production and remediated publicly exposed PostgreSQL and Redis ports through localhost binding and SSH tunneling.

Designed six Spring Boot microservices on Azure AKS with Azure MySQL and Blob Storage for a multi-tenant AI SaaS platform. Built GitHub Actions-to-ArgoCD GitOps delivery, enabling zero-downtime deployments across microservices.

Designed Kafka-to-S3 decoupling pipeline for real-time patient monitoring, reducing dashboard load time by 70%. Migrated Apache Camel integration to Spring Boot microservices and React, improving API efficiency by 98%.

Built Spring Boot integrations connecting monitoring hardware, EMR systems and React dashboards for real-time maternal-fetal vitals.

Built Spring Boot microservices, REST APIs and React interfaces for agricultural data workflows and external-provider integrations.

Delivered Java EE, Spring MVC, Hibernate and AngularJS enterprise applications with AWS deployments and reporting workflows.

Developed Java EE applications using Spring MVC, Hibernate and JSP, establishing enterprise backend development foundations.

Diploma in Computer Technology from Late Vasantdada Polytechnic, completed in 2016.

Java Enterprise Development Certification from NareshIT, completed in 2014.