Talk to Khalid.
Director of Product & Technical Delivery at Keyin College. Ask anything below, or skip the chat.
Hi, I'm Khalid. This is a chat version of my portfolio.
Ask me about my work, what I'm building, or what I think about product and AI in education. Or pick a prompt below.
Suggested
Practice
Complex operations, quietly working.
Most of the work is taking an institutional process that’s tangled and unloved and turning it into a pipeline that runs without anyone watching. Then doing it again.
- ◆
Clarity over complexity
The best products feel simple, even when the underlying systems are sophisticated. I believe in removing friction, not adding features.
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Impact through automation
Why do manually what can be automated? I look for opportunities to free people from repetitive work so they can focus on what matters.
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Data-informed, user-centered
Metrics guide decisions, but conversations with real users reveal truth. I balance analytics with empathy to build what people actually need.
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Ship, learn, iterate
Perfect is the enemy of good. I believe in launching early, gathering feedback, and continuously improving based on real-world usage.
Artificial intelligence
AI, built as infrastructure.
Rebuilding institutional systems with an AI-native lens: platforms designed, internal tooling shipped, and an operating model that treats AI as a first-class participant, not a bolt-on.
- ◆In active design
AI Learning Companion
A platform concept for a persistent AI agent that supports a student across their full journey, from first inquiry through graduation and beyond. It grew out of a clear gap: instructors had little insight into how students were actually engaging, and students had no continuous point of support between touchpoints. Designed to remember context over time and adapt as a learner moves through stages, beginning with advisory support before taking on more active capabilities.
- ◆Shipped
Custom AI Tools for Education
Two focused tools built for Keyin's programs. One helps prospective students explore program options and figure out what fits them; the other helps enrolled students catch up on material they've missed. Both use pedagogy-aware prompting tied to different learning preferences, rather than generic chatbot behavior. Beyond their direct use, they surfaced the engagement-visibility problem that motivated the learning companion platform.
- ◆Shipped
Internal AI Development Platform
A system for spinning up and deploying internal applications quickly, built so a small team can ship production tools at the pace the AI era demands. It standardizes the repetitive parts of getting an app live so the team spends its time on the actual product, moving experiments from idea to running service in days, not quarters.
- ◆Daily practice
AI-Native Operating Model
The practice underneath everything else. I work as an active engineer alongside my product role, using AI coding agents as a core part of how I build: parallel development workflows, codified instructions that give agents the right context, and a repeatable personal system for getting real leverage out of these tools rather than novelty. I treat my own workflow as a system to optimize; a lot of what I design for the institution starts as something I've tested on myself first.
Stack
Technologies I work with.
Modern, battle-tested tools, chosen for the long haul, not the hype cycle.
- TSTypeScript
- React
- NNext.js
- Python
- PostgreSQL
- Azure
- Microsoft Graph
- Sanity
- REST · Graph API
- Tailwind
- 01
90%
Efficiency gain
- 02
5K+
Learners served
- 03
50+
Projects shipped
- 04
67%
Engagement lift
Approach
The bridge between schema and strategy.
Came up through software development before moving into product. That means I can prototype the hard part, push back on architecture, and still own the roadmap.
Most product leaders pick one, engineering or product. I work at the seam. Comfortable at both the schema and the strategy level.
- Product strategy
- Technical architecture
- AI-native delivery
- API automation
- Cross-functional leadership
Selected work
A few projects that moved the needle.
- 2026
OurKeyin LMS
First-party LMS replacing Keyin’s Teams-and-spreadsheets workflow with built-in authoring, grading, and attendance.
In buildnative LMS - 2025
Microsoft Teams Integration Layer
Long-running integration that pulls Teams data into Keyin’s systems and surfaces at-risk students weekly.
~90%faster class setup - 2025
AI-Powered Internal Analytics
Natural-language analytics over operational data. Non-technical staff get answers in minutes, not engineering tickets.
Days→minto answer
Thinking
Notes on product, travel, and the long way around.
- Oct 10, 2025EdTech5 min
How AI will reshape student experience in the next five years
Generative AI in education keeps getting framed as a product feature. The bigger shift is happening one layer down, in the operating model. A field note from the director seat.
- Aug 16, 2020Travel4 min
China Diaries 01: Here We Go — The Journey Begins
Last year, during the monsoon, I was badly looking for a getaway. I always used to keep an eye on the university’s website, looking for new programs and opportunities (Yes, that’s…
- Nov 20, 2019Travel3 min
India Diaries: What persuades me to visit India time and time again?
What do I most like about India? Diversity. India, the seventh-largest country of the world has everything you can imagine, a whole world in a country. You want mountains, you…