Muhammad Sohail

▸ Developed and deployed production-ready machine learning models achieving 85%+ accuracy for client-facing AI applications
across multiple business domains.
▸ Performed data preprocessing, feature engineering, and model optimisation to improve prediction accuracy and overall system
performance.
▸ Integrated machine learning models into scalable production systems using REST APIs, Docker containers, and AWS (EC2, S3)
cloud infrastructure.
▸ Applied NLP techniques including sentiment analysis, intent recognition, and text classification in real-world AI products.
▸ Collaborated in an agile development team; received formal written recognition from the General Manager for technical
aptitude and professional conduct.