Moaz Tahir is a experienced AI Engineer, graduated from the National University of Computing and Emerging Sciences (FAST) with majors in Artificial Intelligence. He possess the refined skillset with expertise in Artificial Intelligence, Machine Learning, and Deep Learning(CV+NLP/LLM) modeling and fine-tuning and optimizations. With a talent for creative problem-solving in revolutionizing areas of AI, he leveraged his expertise to integrate Unreal Engine with NLP by automating the generation of 3D world scenery synonymous with the given text prompt, accelerating the efficiency in game-level design, filmmaking industry, 3D animated commercial and much more! At the National University of Computer and Emerging Sciences FAST, this project was nominated as the best FYP project of 2023 from a pool of 150+. Eager to bring his skillset and knowledge to the team and gain insightful job experience at your company! Technical Skills Overview: • Programming Languages: Python, C++, C • MLOps for CI/CD ML pipelines: Docker, Kubernetes, DVC, Jenkins, ML Flow, Apache Airflow • Deep Learning Frameworks : Scikit-Learn, PyTorch, and TensorFlow • Image/live-feed object detection, classification, segmentation, image processing algorithms, OpenCV, Diffusion Models • Text Processing with Sequence-Sequence(Translations and Chatbots), Auto-Encoders: BERT, ALBERT, RoBERTa, DistilBERT (anomaly detection + feature extraction), Auto-Regressors: GPT (text generation) LLMs and their Finetuning • Fast API, Flask, and Django Frameworks APIs for model deployment and inference • AWS/Azure certified developer for deployment, services, and Maintenance: AWSs Certified Practitioner, Microsoft Azure AI certified. GCP fundamentals. • Database Management: MySQL, Elastic Search, and PostgreSQL GitHub Link: https://github.com/ZackFairMoaz