Manish's Profound AI Rep
Manish's view on trusted data sources shows how he approaches backend reliability.
Manish Khetan
Edges
Automating Delivery Systems
Manish designs delivery workflows that remove manual release steps and shorten feedback cycles. At MapUp, he parallelized multi-region deployments and cut release time by 80%. At profound.me, he built a GitHub Actions pipeline that made voice-agent deployments automatic. His work starts with the dependencies in the release path, then restructures execution around repeatable automation.
Designing Dependable Backends
Manish simplifies backend systems by clarifying which data and execution paths the service should trust. At BitClass, he consolidated payout inputs into one source of truth. At MapUp, he improved API and deployment behavior across regional services. The recurring mechanism is structural: reduce conflicting paths, automate verification, and make system behavior easier to reason about.
Spotted in 1 Story
Manish Khetan
About Me
Manish Khetan is a backend developer who builds production systems across API performance, deployment automation, and transaction-heavy services. His toolkit includes Golang, Python, Node.js, PostgreSQL, AWS, and CI/CD platforms.
At profound.me, he is building backend infrastructure for voice agents and AI representatives. His current focus is automating deployment while improving agent latency and pricing efficiency.
At MapUp, Manish redesigned multi-region CI/CD execution so four regional deployments could run in parallel. Deployment time fell by 80%, giving users and developers faster testing cycles.
At BitClass, he revamped the payout architecture around a single source of truth for course pricing, registrations, hours, and teacher splits. The redesign removed the inconsistencies behind recurring payout complaints and reduced system bugs.
Manish Khetan
Parallelizing independent work can change the feedback cycle for everyone who depends on a release.”
Manish Khetan
On delivery speed