I'm Muhammad Ahmed Ghani — Machine Learning Lead at ImagineArt (formerly Vyro), where I build the models behind one of the fastest-growing creative AI platforms in the world.

I work across Speech, Vision, NLP, and Agentic AI — not as a timeline of past phases, but as four threads I'm actively pulling on right now. The interesting problems sit at the seams between them, and that's where I spend most of my time.

Research is the starting line, not the trophy. Anyone can make a model produce one good output; making it produce ten million is a different discipline. That's where I live.

Recognition, separation, and synthesis pipelines. Turning messy audio into structured signal — and back again — at production latency.

Detection, segmentation, generation, and editing. From frame-perfect video pipelines to real-time inference on tight budgets.

Language understanding, retrieval, and generation. Grounding LLMs in real data and real constraints, not just vibes.

Planning, tool-use, memory, and recovery. Systems that do the work — not just describe how they'd do it if asked nicely.

Creative AI platform spanning image and video generation, serving millions of creators worldwide. Led the ML stack behind the 2.0 release — unifying modalities, tightening consistency, and shipping at scale.

Led the release of seven video-AI models at ImagineArt — pushing frame-to-frame consistency from "demo quality" to something creators can actually build with.

Voice separation, video object removal pipelines, super-resolution ports, and inference tooling — quietly powering other people's projects on GitHub and Hugging Face.

Production-grade GenAI deployments in regulated industries — real customers, real compliance, real stakes. The kind of work that teaches you what "production" actually means.