About GetHired.dev
GetHired.dev is Aarav Chandel's engineering notebook for backend systems, reliability, fraud detection, TypeScript, and explaining technical projects clearly.
Editorial focus
- Reliable Node.js workers, queues, retries, idempotency, and transaction boundaries.
- Fraud-event pipelines, audit trails, replay safety, and operator workflows.
- TypeScript and web-platform changes tested against concrete application behavior.
- Portfolio writing that shows an engineering decision instead of listing technologies.
About the author
Aarav Chandel studies Information Technology at Chandigarh University in the 2024–2028 batch and focuses on backend engineering. He publishes GetHired.dev while building CryptoEx, a crypto-exchange backend project, SentinelFi, a fraud-detection microservices project, and Niyam, a policy-to-code verification project.
CryptoEx creates concrete questions about money-moving state, duplicate jobs, transaction boundaries, ledger consistency, and uncertain provider responses. SentinelFi creates questions about event contracts, Kafka and gRPC boundaries, duplicate delivery, risk decisions, observability, and operator review.
CryptoEx contains roughly 11,600 lines across the application and deployment work and has been operated on AWS Lightsail as a portfolio system. That number describes codebase size, not customers, trading volume, or production scale. Project code and current public repositories can be reviewed through Aarav's GitHub profile.
Articles do not claim traffic, production scale, or measured results unless the page shows how that evidence was obtained. Corrections can be sent through the contact page.
Editorial approach
Each new or materially upgraded technical guide must contain at least one concrete artifact: project-specific reasoning, runnable code, a reproduced failure, an architecture diagram, a test, or a measurement with its environment explained. Older articles remain live while they move through the public remediation queue; they do not receive a quality claim merely because they are indexed.
AI-assisted tools may support research, outlining, or editing, but Aarav remains responsible for the final article. Time-sensitive claims link to primary sources. Code and configuration are reviewed manually, and meaningful corrections receive an updated date.
The complete standards, corrections process, sourcing rules, and publishing cadence are documented in the editorial policy.
Examples are educational and intentionally scoped. They should not be mistaken for personalized financial, legal, employment, or security advice.