MUHAMMAD AHMED GHANI
AI Research Lead
& Machine Learning Lead at ImagineArt
About Muhammad Ahmed Ghani
Muhammad Ahmed Ghani is an AI Research Lead and Machine Learning Lead at ImagineArt, based in Islamabad, Pakistan. He directs the model programme behind ImagineArt 2.0, ImagineArt 1.5 Pro and ImagineArt 1.5 — text-to-image models built for photorealism and accurate text rendering.
The work spans generative image, video, speech and agentic systems: model architecture and training, evaluation, distillation and quantisation, and the inference infrastructure that serves those models in production. As of , systems he has led are used by more than two million people.
Before ImagineArt came five years across Ekkel AI, Kodezi and Sigmetec — leading a team of five through more than twenty projects in speech processing, natural language processing and computer vision, and building the MLOps foundations for AI developer tooling as a founding engineer. Originally from Lahore, where he read computer science at the University of Central Punjab.
What does Muhammad Ahmed Ghani work on?
Generative models, end to end. Diffusion and flow-matching image models, video generation with temporal consistency, speech systems, and agentic AI — from first experiment through training, evaluation and production inference.
Who built ImagineArt 2.0?
Muhammad Ahmed Ghani led its architecture and training at ImagineArt. These are team-built systems — ImagineArt 1.5 was built with a team of seven ML engineers, and 1.5 Pro added native 4K generation and finer micro-detail.
Where is he based, and is he available?
Islamabad, Pakistan — originally from Lahore — working with teams globally. Open to research collaboration, consulting and speaking, at muhammad.ahmed@imagine.art or i.am.a.pakistani.programmer@gmail.com.
Models &
Products
Research taken through
to shipped products.
Generative AI
ImagineArt 2.0
Text-to-image model built for photorealism and accurate text rendering at production scale. Led its architecture and training.
Generative AI
ImagineArt 1.5
Photorealistic text-to-image model, built with a team of seven ML engineers.
Video Generation
Imagine Shorts
Automated video generation, from a single text prompt through to a finished cut.
Computer Vision
Imagine Avatars
AI persona generation and animation, with real-time inference and sub-second rendering.
Agentic NLP
Chatly AI
Multi-agent conversational system integrating GPT-4o, Claude 3.5 and Gemini.
The Stack
Tools used day to day.
AI / ML
Languages
Infrastructure
Experience
Where the work has happened.
Machine Learning Lead
- Led architecture and training for ImagineArt 2.0, focused on photorealism and text rendering.
- Built ImagineArt 1.5, a text-to-image model, with a team of seven ML engineers.
Sr. ML Engineer
- Optimised model infrastructure for dynamic CPU/GPU switching, reducing operational cost by about 40%.
- Developed Saaz — a singing voice cloning product with real-time inference capabilities.
Sr. AI Engineer / Team Lead
- Led team of 5 engineers, delivering 22+ projects across Speech Processing, NLP, and Computer Vision.
- Managed large-scale deployments on AWS, GCP, and Runpod across global infrastructure.
Certifications
Courses and certifications completed.
Education
Undergraduate study.
Bachelor of Science in Computer Science
- Lahore, Pakistan · CGPA 3.52/4.00
- Active Lead at Computer Society, organizing international tech competitions.