Muhammad Hisan Usman
AI Engineer
hisan [dot] usman20 [at] gmail [dot] com
I am an AI Engineer with 1.5 years of experience building production AI systems that real businesses depend on. I hold a Bachelor of Science in Artificial Intelligence from the National University of Computer & Emerging Sciences (NUCES) and have been shipping intelligent systems — from multi-agent platforms to enterprise voice agents — since the day I graduated.
Currently at Ember AI, I architect the company's core product: a multi-agent system that uses retrieval-augmented generation, LLM orchestration, and agentic workflows to transform unstructured client documents into production-ready specifications. Previously, at CareCloud Inc., I led a team of 10+ engineers building StratusAI — an enterprise voice agent that handles live phone calls for healthcare providers, processes real-time dialogue through LLMs, and integrates directly with electronic health record systems, all under HIPAA compliance. I also built an ML pipeline that parses unstructured healthcare claims into 40+ structured fields at 95%+ accuracy. Earlier in my career, I worked on computer vision for military drone imagery at Rapidev, automated data science pipelines at Systems Limited, and large-scale financial analytics at Teradata.
My final year project, WatchDog AI, developed under the supervision of Dr. Usman Haider, is a real-time surveillance system combining Vision Transformers for violent activity detection, custom YOLOv8 models for weapon detection, CLIP for scene understanding, and LangChain for automated report generation — integrating multi-modal computer vision with large language models to automate threat detection and emergency response workflows. Beyond this, my project portfolio includes human action recognition using Vision Transformers, sign language-to-speech systems using CNNs and GPT, and deep learning for custom emoji generation using GANs.
My research interests include Agentic AI, Retrieval-Augmented Generation, Natural Language Processing, Computer Vision, and Machine Learning. I am actively seeking graduate study and research opportunities to build formal depth behind the production systems I ship, and to contribute original research to the field.