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.
Built. Deployed. Owned.
The FDE loop.
One day on the job, on repeat. Scroll and walk it with me.
I don't just use AI. I've wired it into production. Safely.
From Slack, I pull the full picture on any user or issue: logs, data, code, usage, billing, 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 logs, opens PRs. I review and merge.
The AI diagnoses and drafts. The human decides and ships.
Shipping, daily.
Where I've shipped.
Forward Deployed Engineer · Superjoin
End-to-end owner of the Data Connector, the engine syncing 34+ third-party sources into Sheets & Excel for 30k+ users across 200+ companies.
- ■Leading the automation push so the connector runs on autopilot: self-healing instead of hand-held.
- ■Join client calls to troubleshoot live and ship custom fixes on the spot.
- ■Wired Claude into prod (read-only) for root-cause analysis straight from Slack.
Backend Developer · bytive.in
Enterprise data integration for Kisna Jewellers: cross-database sync plus payments and rewards, without disrupting the existing stack.
- ■Built the microservice syncing MongoDB → MSSQL on a reliable cadence, unblocking Salesforce ingestion.
- ■Integrated GoKwik (payments) and Reward Rally (rewards) into the platform.
Backend Developer · Contract · IRCTC
Backend for India's national food-safety inspection platform. Government scale, government scrutiny.
- ■Designed the data flow to sustain 1,000+ inspections per day reliably.
- ■Implemented geo-location validation so every inspection is verified at its claimed location.
Data Engineer Intern · HERE Technologies
Data pipelines and processing at map-scale. My first taste of data that doesn't fit on one machine.
- ■Built and maintained pipelines processing geospatial data at global map scale.