Naeem Khan

I am a Senior Machine Learning Engineer with deep experience building and deploying production-grade AI systems across industries. I specialize in Python frameworks, TensorFlow, PyTorch, and modern MLOps practices.

At AgileNinja I led an 8-person ML team to architect a scalable ML platform that halved model processing time and implemented MLOps (Docker, Kubernetes, CI/CD), reducing time-to-production by 40% while delivering a company-wide fraud detection system that cut fraudulent transactions by 35%.

Previously, I managed five production ML models at HorizonIT, improved sales-forecast accuracy by 30%, and optimized training pipelines to reduce training time by 50%. Earlier work as a software engineer involved large-scale data preprocessing and building TensorFlow/PyTorch models achieving strong predictive performance.

I mentor engineers, collaborate with product and executive stakeholders to align AI initiatives with business objectives, and contribute to internal AI/ML knowledge sharing. I am committed to continuous learning and delivering robust, scalable AI solutions.