Ankit PrajapatiAcademic governance · Institutional AI

Recruiter access · Interactive systems

Don’t just read the work. Operate it.

Explore institutional governance and professional identity through four interactive creations, plus a fifth engineering creation below. Review evidence, follow quality cycles, operate governed records, or transform a career record into connected views and reusable documents.

4interactive creations
7career presentation views
3real audit-chained backends
Oneunified launch point

Working creations

Each creation has a clear purpose, a working experience and its own case study. Enter a system, inspect its logic and return to your place in the portfolio. Storage and session limits are explained within each creation.

Professional identityR

Professional Record

Working system · Seven views

Ankit’s career résumé as an AI-assisted design case: one structured record, seven independent views and a retrieval-only Q&A panel that cites its own source.

Try these
  • Explore Dossier, Narrative and Atlas
  • Trace connections through Flow and Map
  • Compare the Ledger with the same record
  • Generate and download a tailored résumé in Studio
Evidence assuranceP

PRAMAAN

Operational demo

Evidence governance, provenance, role accountability and approval history for institutional assurance.

Try these
  • Enter as a different institutional role
  • Inspect the evidence atlas
  • Move a record through review
  • Export a governance view
Continuous qualityनि

NIRANTAR

Operational demo

Continuous quality assurance, metric ownership, annual allocation and multi-role institutional review.

Try these
  • Sign in as an IQAC or academic role
  • Explore criterion and metric ledgers
  • Allocate an AQAR cycle
  • Generate a structured evidence pack
Institutional dataI

IDMS

Operational demo

A governed institutional data layer for NEP returns, assignment, submission, verification, approval and audit.

Try these
  • Enter as central authority or data owner
  • Assign and update a return
  • Submit, verify and approve
  • Inspect audit and export views

A useful ten-minute review

Evaluate the governing logic, not only the surface. Each system exposes the same institutional pattern through a different problem.

01

Choose a role

See how authority and visibility change with responsibility.

02

Move the work

Create, submit, return, verify or approve a controlled record.

03

Inspect evidence

Follow source, ownership, status and correction history.

04

Judge the model

Assess whether the logic could survive institutional scrutiny.

Engineering creation · Working code

KU-RISE timetable engine

The fourth creation is a constraint solver rather than a browser portal. Its working Python engine schedules 381 weekly sessions across six schools and three campuses, then independently validates the result.

381sessions placed
0validation conflicts
3campuses
OPTIMALsolver status

Switch destination

Professional RecordSeven views and working document generationPRAMAANEvidence assuranceNIRANTARContinuous qualityIDMSInstitutional dataProfileReturn to Ankit’s professional profile