Founder & Transformers Model Engineer

Open Science Developer & Researcher

This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming.

The Hugging Face LLM Course is a practical, hands-on introduction to working with large language models (LLMs) using the Hugging Face ecosystem. It covers key concepts like transformers, tokenization, model inference with pipelines, fine-tuning on custom datasets, evaluation, and deployment. Designed for developers and ML practitioners with basic Python skills, the course teaches how to leverage state-of-the-art models for tasks such as summarization, classification, and translation. Learners get to explore the Hub, train and share models, and optimize inference with tools like Text Generation Inference (TGI) and accelerate, all through interactive Colab notebooks and real-world examples.

Completed a 2.5-hour self-paced online Microskill course introducing the fundamentals of Artificial Intelligence, with no prior technical knowledge required. Gained foundational understanding of how AI learns from data, explored real-world applications across various industries, learned key AI terminology, and received insights from industry professionals on starting a career in AI. The course also addressed common myths and misconceptions surrounding AI. Successfully completed all modules and assessments to earn a certificate of completion.

Master PyTorch with this learning path, designed for those experienced in Python and machine learning. From tensor basics to advanced modeling, it includes practical exercises focused on real-world datasets, such as the wine dataset, enhancing your deep learning skills through PyTorch.

Python is the world's fastest growing programming language is easy to read, learn and code. You'll learn to build interactive programs and automate your tasks, analyze and visualize even the most complex data and create AI and machine learning models. No previous coding experience needed.