Every component
must earn its place.

Orgs were spending on AI with zero visibility — which team, which tool, for what purpose. Built the data layer that changed that.

• Enabled org-level AI investment decisions — admins could see whether AI was doing the work of two people in a dept, and act: reallocate, upskill, or cut spend accordingly
• Built rubric classification pipeline that converted raw LLM conversations into business-readable intent — engineering, product planning, finance, compliance — giving leadership actual context, not just usage counts
• Reduced LLM platform onboarding from days of integration work to 3 lines of config — any new AI tool the org adopted was live in the workspace immediately
• Privacy-first capture by design — only first 10-15 exchanges, no PII, no fingerprinting — made enterprise adoption viable without legal friction

SaaS management platform — enterprises were paying for tools employees never used. Built the agents that made usage visible across 20+ enterprise orgs like Monday.com, Razorpay, powering Zluri's core product value.

• Eliminated manual MDM onboarding friction — silent device auth via UUID and hashed org token meant thousands of employee devices enrolled without a single manual login, reducing IT ops load significantly
• Recovered enterprise customer trust faster — diagnostics window with exportable logs cut MTTR from ~6 hours to 15 min, reducing escalations and preventing churn at the account level
• Gave IT admins org-wide software visibility — app versions, usage time, CPU and memory per device streamed at ~1M events/day, enabling remote update triggers across entire orgs without manual audits

Hyper-local talent discovery — built to solve a real access problem: finding a human teacher near you for any skill, without going through institutions. Built everything alone.

• Took a zero-resource startup from idea to live product — built backend, database, and frontend solo, then led two full architectural migrations as the product scaled and requirements changed
• Operated as sole technical decision-maker with no playbook — hired and mentored three interns, maintained product continuity while learning and building simultaneously
• Validated the idea at national level — selected from 700+ applicants at iCreate Ahmedabad, presented to industry leaders, underwent structured product mentorship