★ FEATURED
No.01
Playlist Helper
An AI-powered Spotify playlist generator that turns plain-language prompts into real, saved playlists — with a guard that asks for the details it needs before it builds.
“I take ideas from messy early concepts to working products people can actually use.”
A Computer Science co-op student building software, AI tools, dashboards and data-driven products — across full-stack apps, SaaS analytics, automation and startups.
I’m Ammar Kashif — a Toronto-based Computer Science co-op student at Toronto Metropolitan University, focused on software development, AI-powered products, data analytics, SaaS tools and startup execution.
I’ve worked inside government technology, shipped full-stack projects, co-founded healthcare and digital ventures, and contributed to applied industry work across automation, dashboards, product strategy and AI tools — building with React, Next.js, Python, Node.js, Flask, Power BI, Azure DevOps, and the Spotify and OpenAI APIs.
What drives me is practical building — understand a real problem, break it down, design a clean solution, and turn it into something people can actually use.
Whether it’s a playlist generator, a healthcare concept, a government analytics workflow, or a client’s website, I care about making technology clear, usable and meaningful.
Eight entries — products shipped, startups founded, hackathons run. The work comes first.
★ FEATURED
No.01
An AI-powered Spotify playlist generator that turns plain-language prompts into real, saved playlists — with a guard that asks for the details it needs before it builds.
Recognized for entrepreneurial work on MedPass, a healthcare-technology concept for secure medical-information sharing — co-founded and led on the technical side.
The work feels less generic when it’s connected to the person behind it.
Download the full résumé — experience, projects, education and the complete skill set.
I’m looking for opportunities to contribute to software, AI, data, product or SaaS-focused teams while I keep growing as a builder.
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