Lokendra Singh.
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Current project · pac.university

PAC University

One student app on web, Android and iOS, with LMS, Calendar and Drive built in, and PAC Agent, a Personal Academic Copilot for study help, deadlines and support tickets, also inside ChatGPT.

Team leadDjangoReactFlutterLangGraphVertex AIMCPKafka

20 daysto launch
3platforms
4engineers led
Client
PAC University (pac.university)
PAC
Personal Academic Copilot
Domain
University student platform
My role
Team lead, 2026 to present
01

The problem

  1. Too many placesCoursework, calendar and documents each lived in a different tool.
    FixOne app with LMS, Calendar and Drive built in.
  2. Slow helpStudy questions, deadlines and technical issues all waited for staff time.
    FixPAC Agent: study help, deadlines and support tickets, in the app and in ChatGPT.
  3. Three platforms, one teamWeb, Android and iOS had to launch together with a small team.
    FixWeb, Android and iOS built together by a team of 4.
  4. A tight deadlineThe whole platform had to be live in weeks, not months.
    FixLive in 20 days, with AI-assisted coding across the stack.
02

A day with PAC

An example day, to show how the pieces fit.

  1. 09:00Calendar

    Today's lectures, in the same app.

  2. 11:30LMS

    Opens the assignment due on Friday.

  3. 14:00Drive

    Lecture notes, one tap away.

  4. 18:30PAC Agent

    Stuck on the assignment. The agent helps with the topic and reminds that it is due Friday.

  5. 20:00ChatGPT

    Asks @PAC for the ticket status, upcoming assignments and deadlines, without opening the app.

03

How it works

STUDENTS ASK FROM Webpac.university Android · iOSstudent app ChatGPTthrough MCP asksanswers · deadlines PACAgentPersonal AcademicCopilot STUDENT CONTEXT LMSCalendarDriveChat groups looks up IT DOES Study helpDeadlines Support desktickets for tech issues raises ticket KEPT IN CHECKevery run traced · evaluated before changes ship every run STUDENTS ASK FROM Webpac.university Android · iOSstudent app ChatGPTthrough MCP asks PACAgentPersonal AcademicCopilot looks up STUDENT CONTEXT LMSCalendarDriveChat groups IT DOES Study helpDeadlines Support desktickets for tech issues answers and deadlines go back to the student KEPT IN CHECKtraced · evaluated before release
How a question flows
  1. 01A student asks, in the app or in ChatGPT.
  2. 02PAC Agent looks up their courses and calendar.
  3. 03It helps with the work, gives the deadline, or raises a support ticket.
  4. 04Every run is traced, and changes are evaluated before they ship.
03

Key insight

AI-assisted coding is a multiplier, not a shortcut. It gave a team of four a 20‑day launch because every change still went through review and tests.
Lokendra Singh · Team lead, PAC
04

The hard parts

  • Speed with quality. Shipping three platforms in 20 days only works if review and tests are never skipped.
  • Help the AI can't fake. Students rely on its study help and deadlines, and support tickets are real work for staff, so every answer and action must be traceable.
  • The trade-off. AI-assisted coding bought the 20-day timeline; every change still went through review and tests, because speed without them is just faster bugs.
05

My part

As team lead of four engineers, I led delivery across the web, Android and iOS apps and built PAC Agent, the AI agent for study help, deadlines and support tickets, with tracing and evaluations, plus the real-time chat.

06

What I took away

  1. Small teams with AI-assisted coding can ship big platforms, if review stays strict.
  2. Meet students where they already are: the app, and ChatGPT through MCP.
  3. Trace and evaluate an agent from day one, not after the first complaint.

Want the detail behind the numbers - architecture, failure modes, what I’d change? Happy to walk through it.

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