Shehzad Ahmed

Lead AI and software development teams to deliver end-to-end solutions, overseeing planning through deployment and aligning projects with business goals and client needs.

Designed and developed ML/DL systems and LLM integrations (LangChain, Llama Index) with focus on performance, fine-tuning, and production deployment across NLP and generative tasks.

Built computer vision and NLP solutions for retail analytics and recommendation systems, deployed models via SageMaker, and developed chatbots and OCR/RPA document automation.

Developed and maintained ML and deep learning models (object detection, segmentation) using TensorFlow/PyTorch and implemented medical image processing and annotation workflows.

Managed master data processes in SAP (materials, BOMs), coordinated with SAP consultants, and performed data extraction, advanced analytics, and reporting to support operations.

Completed 'Deep Learning with PyTorch' to develop practical deep learning model building and training skills using PyTorch.

Completed 'Google Cloud Big Data and Machine Learning Fundamentals' to gain foundational knowledge of cloud ML and big data tools.

Completed a Diploma program focused on Artificial Intelligence and Cloud Computing covering AI models, cloud services, and practical deployments.

Completed the course 'Computer Vision - Image Basics with OpenCV and Python' to strengthen practical CV and image-processing skills.

Earned a Bachelor of Computer Science with coursework and projects in software development, machine learning, and computer vision.