Muhammad Azib

Results-driven AI/ML Engineer with hands-on industry experience designing, training, and deploying end-to-end Machine Learning and Deep Learning solutions. Proven track record building production-ready applications in Computer Vision, Natural Language Processing, and Generative AI. Skilled at integrating ML models into scalable web backends using Django and REST APIs.

Adept at the full ML lifecycle from data preprocessing and feature engineering to hyperparameter tuning, model evaluation, and cloud deployment. Eager to contribute to innovative teams solving high-impact, real-world problems through intelligent systems.

AI/ML Engineer Intern - Sprouto Group - Lahore, Pakistan

(2025-12 - 2025-06)

• Engineered and optimized ML/DL models across four concurrent projects: Image Colorization, AI Coding Tutor, Hospital Chat System, and Speech-to-Text System — improving overall model accuracy by iterative hyperparameter tuning.
• Executed complete data preprocessing and feature engineering pipelines, reducing training time and increasing model reliability on real-world datasets.
• Integrated trained models into Django web applications and RESTful APIs, enabling seamless production deployment and end-user access.
• Designed and maintained end-to-end ML pipelines covering data ingestion, model training, inference optimization, and deployment workflows, reducing deployment cycle time.
• Collaborated cross-functionally with developers and stakeholders to translate business requirements into scalable AI solutions.

Bachelor of Science - Computer Science - Lahore Garrison University (2021 - 2025)

F.Sc - Pre-Engineering - Punjab Group of Colleges (2019 - 2021)