Machine Learning and Data Science Expert
Soheil is a Postdoctoral Researcher with a strong academic foundation in Control and Automation Systems Engineering, specializing in Artificial Intelligence. His expertise spans across Data Science, Machine Learning, LLMs, Deep Learning, Natural Language Processing (NLP), and Robotics. Soheil has successfully applied his skills in both industry and research environments, contributing to advancements in AI.
Currently, as a Postdoctoral Researcher, Soheil is dedicated to pushing the boundaries of AI. His technical proficiency in Python, SQL, TensorFlow, and Keras, combined with a deep understanding of AI methodologies, has enabled him to deliver innovative solutions and insights. His prior work includes leading diverse projects such as sales forecasting using time series and LSTM neural networks, autonomous indoor navigation for quadrotors using ORB-SLAM, and deep learning-based credit scoring in the banking sector.
Soheil’s experience in data analysis and visualization further enhances his comprehensive understanding of how AI can address complex problems and create tangible value. His contributions are a testament to his dedication to advancing AI research and its real-world applications.
"Machine Learning and Data Science Expert"
This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape.
Soheil Haddadi
This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses.
Soheil Haddadi
This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses.
Soheil Haddadi
This course offers a comprehensive introduction to the capabilities of GenAI and provides practical strategies for integrating these powerful tools into everyday data analysis tasks.
Soheil Haddadi
This course will cover the basics of machine learning models, data augmentation, and ethical considerations, offering insights into how GenAI can enhance analytical precision and innovation in data science.
Soheil Haddadi
This course aims to demystify the complexities surrounding GenAI, making it accessible for data science professionals to leverage these technologies for enhancing data augmentation, automating repetitive tasks, and model development.
Soheil Haddadi
This course, "GenAI for Product R&D Teams," introduces integrating GenAI in product research and development, highlighting its potential to accelerate innovation, enhance creativity, and optimize strategies for R&D professionals.
Soheil Haddadi
This comprehensive course introduces Gemini for Google Cloud (Duet AI), emphasizing its potential to streamline coding, debugging, and deployment processes.
Soheil Haddadi
