Job Radar
A persistent opportunity pipeline that checks the evidence, tracks what it has seen, and sends useful alerts.
I’m Adarsh. I build backend platforms that make complex things work — from cloud infrastructure to the workflows that keep it moving.
A request. A retry. A failure.
Every path deserves a plan.
Choose a scenario. Follow the request.
INTERACTIVE DEMO 01 / SYSTEMS THINKINGA few things I’ve built.
The interesting part is how they work.
A persistent opportunity pipeline that checks the evidence, tracks what it has seen, and sends useful alerts.
A community platform connecting posts, messaging, and notifications through real-time events.
The API layer behind a food delivery experience. Authentication, user management, and push notifications, connected.
From mobile interfaces
to the infrastructure underneath.
Building enterprise cloud control planes with TypeScript, NestJS, Node.js, and event-driven services.
Quota reservation, release, and capacity-aware placement across compute, memory, and storage.
Idempotent resource creation, asynchronous state reconciliation, and recovery from partial provisioning failures.
Readable audit trails, backward-compatible migrations, and tests across APIs, services, repositories, and components.
A Flutter transaction summary experience for credit card utilization.
Flutter applications across health monitoring, PDF tools, and offline navigation.
A quiz application built with Flutter.
Capacity checks account for work in progress. Reserve before provisioning, release on failure, and make placement decisions with the whole picture.
Repeated messages and partial failures are part of the design. Use idempotency, reconciliation, and readable audit trails to keep the system understandable.
Standardize contracts with legacy fallback reads and staged adoption. New resource operations can evolve while historical records stay usable.

I’m a backend and platform engineer who likes understanding what happens after the API returns — the events, the state transitions, the retries, and the things that can go wrong.
My work spans enterprise infrastructure and personal automation. I care about clear contracts, useful observability, and leaving a system easier to reason about than I found it. I also help peers reason through edge cases, failure paths, and test expectations.
I also use AI-assisted engineering and MCP integrations for planning, implementation, and review, with testing and human judgment at the center.
TypeScript · Node.js · NestJS
Express · REST · GraphQL
PostgreSQL · MongoDB · Redis
Kafka · RabbitMQ
Docker · GitLab CI/CD · Jest
n8n · Splunk · MCP
Have an interesting backend challenge or a role in mind?
I’d love to hear about it.
Experience, projects & skills
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