Heerad Farkhoor, a modeling and optimization expert, has extensive experience building scalable algorithmic systems in both the technology and quantitative finance industries. With a Master of Science in Electrical Engineering from Stanford University and a Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, Farkhoor has a strong educational foundation. He has worked for prominent companies such as Millennium, Citadel, Uber, and Twitter in various positions such as Quantitative Researcher, Senior Data Scientist, and Research Scientist. In addition, Farkhoor has interned at Cadence Design Systems and conducted research at Berkeley Lab, The University of Tokyo, and UC Berkeley College of Engineering. Farkhoor's diverse experience and expertise make him a valuable asset to any organization seeking to build optimized algorithmic systems.