Muhammad furqan

I am a dedicated AI/ML Engineer with over 9 years of experience in developing intelligent systems across various industries, including tech, healthcare, retail, and finance. My expertise lies in machine learning, deep learning, and applied artificial intelligence, with a strong focus on natural language processing (NLP), computer vision (CV), and generative AI. I have a proven track record of architecting and deploying end-to-end ML solutions, from data ingestion and preprocessing to model training, optimization, and scalable deployment in cloud environments.

In my recent role as a Senior AI/ML Engineer at NexMind Technologies, I led the design and deployment of AI solutions using large language models (LLMs) for enterprise productivity tools. I successfully built scalable deep learning models that improved inference speed by 40% and developed MLOps pipelines that enabled automated training and deployment workflows. My ability to collaborate with cross-functional teams and align AI capabilities with customer needs has resulted in significant improvements in user engagement metrics.

Throughout my career, I have consistently focused on leveraging cutting-edge AI technologies to drive measurable business value. I am passionate about building AI applications that enhance operational efficiency and decision-making processes, and I am well-versed in MLOps practices and cloud-native ML systems using AWS, GCP, and Azure.