Shahab Bahreini Jangjoo

As an AI Researcher and Data Scientist, I combine a rich background in Physics and Software Development with a passion for artificial intelligence and data science. My technical prowess extends across Python, C++, Machine Learning, and High-Performance Computing, where I've spearheaded technological innovations in diverse sectors.

My career highlights include simulating neuronal networks and optimizing industrial processes, evidencing my versatile skill set and adept problem-solving. At ENA Solution, my AI models significantly reduced energy consumption in thermostat products, underlining my dedication to creating impactful, real-world AI applications.

Academically, I hold a Master's in Applied Computing from the University of Saskatchewan. This journey sharpened my deep learning skills and research abilities. As a Teaching Assistant and Research Assistant at the University of Saskatchewan and the University at Albany SUNY, I developed key skills in public speaking and curriculum development, enriching my technical acumen with effective communication skills.

Key Skills:

Advanced AI & Machine Learning Algorithms
Comprehensive Data Analysis & Visualization
Expertise in High-Performance Computing
Proficient in Software Development (Python, C++)
Specialization in Neuronal Network Simulation
Innovative Energy Optimization Techniques
Public Speaking & Curriculum Development

I am actively seeking collaborative projects and research opportunities that challenge the status quo in AI and Data Science. My goal is to continuously evolve, contributing significantly to the advancement of the field, and I am keen on opportunities that allow me to leverage my unique blend of skills for groundbreaking work.

I am an experienced AI Engineer, Data Scientist, and Software Developer with dual M.Sc. degrees in Physics and one in Computer Science. I have a proven record of improving machine learning models, image processing, and AI development. Highlights include enhancing object detection at Rayhawk, developing AI-based smart thermostat solutions at ENA Solutions, and leading multiple software projects at Coin Sigma Labs. My experience spans from optimizing YOLO models and managing large data sets to leading project teams and applying clean coding principles.

I hold an M.Sc. in Computer Science (Applied Computing) from the University of Saskatchewan, where I focused on simulations and parallel computing. Additionally, I have M.Sc. degrees in Physics from the University at Albany and Shiraz University, with a focus on optics, complex systems, and computational modeling, equipping me with deep mathematical and analytical skills essential for machine learning and data science.