As a distinguished professional holding a Ph.D. in Photogrammetric Computer Vision Engineering from the esteemed University of Tehran, I have spent more than a decade dedicating myself to the fascinating intersection of machine learning and computer vision in the Earth Intelligence industry. Proficient in Python, C++, and AWS cloud computing, I have leveraged my expertise to develop innovative solutions for intricate challenges in this field.

Currently serving as a Staff ML/CV Engineer at EV, I apply cutting-edge deep learning techniques to analyze and interpret airborne and satellite imagery. Through my proficiency in AI, I have created advanced algorithms and data-driven insights that drive positive change within the Earth Intelligence domain.

In an ever-evolving technology landscape, I embrace change and possess a knack for swiftly acquiring new skills and staying abreast of advancements in machine learning, computer vision, and related disciplines. By consistently delivering impactful results, I firmly believe in the transformative power of technology to shape our world for the better.

Beyond my technical acumen, my leadership skills have flourished through successful cross-functional team management. By effectively communicating vision, setting clear goals, and empowering team members, I foster an environment that nurtures creativity, innovation, and continuous improvement.

Additionally, when time permits, I actively engage in open-source software development, recognizing the value of collaboration and knowledge sharing within the Earth Intelligence community.

Driven by an unwavering passion for pushing the boundaries of technology, I relentlessly pursue excellence in my work. Committed to making a significant impact in the field of Earth Intelligence, I strive to develop state-of-the-art solutions that shape the future of our planet.