About Me

I build backend systems that are reliable, scalable, and production-ready.

I’m Shivam Omer, a Software Engineer with 2+ years of experience creating backend services, distributed workflows, and cloud infrastructure for fast-moving teams. My work sits at the intersection of software engineering, automation, and DevOps.

Why this portfolio shows more than the resume

A resume captures the highlights, but a portfolio shows the depth of execution. I prefer to showcase a wider range of backend, automation, and product-building work so visitors can see how I think, build, and solve problems across different contexts.

Professional Summary

I have worked on backend platforms handling thousands of asynchronous events, built resilient APIs, and automated deployment workflows across AWS, Azure, and Linux environments. My current focus is on designing durable systems with strong observability and clean architecture.

  • Designing event-driven backend services and microservices
  • Building scalable APIs and asynchronous processing workflows
  • Automating deployments with Docker, Kubernetes, Terraform, and CI/CD pipelines

Current Focus

At Move37AI, I work on event-driven backend services and data-intensive workflows that support real-time operations and intelligent automation.

PythonDjangoFastAPIKafkaMongoDBDockerKubernetesAWSAzureTerraformJenkinsGitHub Actions

Experience Snapshot

Software Development Engineer — Move37AI

Jan 2026 – Present

Built event-driven backend services using Python, Django, Kafka, and MongoDB and contributed to high-volume asynchronous workflows and real-time notifications.

Backend Developer — Solytics Partners

Mar 2024 – Dec 2025

Engineered WarpDrive, reduced execution latency by nearly 80%, automated CI/CD pipelines, and helped build scalable execution platforms using Django, Golang, Docker, Kubernetes, and Terraform.

Achievements

  • LeetCode— solved 700+ problems across easy, medium, and hard levels.
  • GeeksforGeeks— solved 350+ DSA problems.
  • Built systems that improved execution efficiency and operational reliability across startup environments.