Mukul Anand Bhatt
I build production backend, automations, and integrations — then get on the call to make sure it actually ships.
Production from scratch.
Microservices, data pipelines, and third-party integrations that hold up under real load.
On the call, not behind it.
Client calls, live troubleshooting, custom solutions — shipped while the customer watches it work.
Cheaper, harder, faster.
Codebase optimizations that cut cost, raise reliability, and scale without drama.
The FDE loop.
Discover
Get on the client call. Find the real problem behind the request.
Build
Ship the service, the integration, or the automation. Production-grade.
Deploy
Get it live with the customer — on the call, watching it actually work.
Optimize
Measure, cut cost, harden — then loop back with what I learned.
I don't just use AI.
I've wired it into production — safely.
From Slack, I can pull the full picture on any user or any issue — logs, data, code, usage, billing, conversations, even session recordings. Every connection is read-only: it sees everything, changes nothing. Then Hermes turns the fix into a PR I just review.
I query any user or any issue straight from Slack.
Logs, data, code, usage, billing, conversations, recordings — all read-only by design.
Deep root-cause analysis with zero write access. Nothing changes.
Makes code changes, pulls recordings, opens PRs — I review and merge.
The AI diagnoses and drafts. The human decides and ships.
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