San Francisco Bay Area
I'm Husain Wafaie, a Computer Science and Engineering New Grad at the University of California, Irvine, passionate about full-stack development with diverse experience across backend development, database management, and cloud services. I'm also interested in exploring various areas of tech, from embedded systems to exploring machine learning. Feel free to email me at [email protected] Feel free to check out my website as well https://husainwafaie.com/
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• Leading the software/controls subteam, responsible for overseeing and coordinating the activities and efforts of the controls subteam and communicating with the electrical and mechanical subteams and various professors. • Achieved 4th place globally and 2nd place in the US in the International CanSat competition
• Developing embedded systems for the payload and container of the CanSat, a satellite launched to simulate a planetary probe landing sequence, using STM32 MCU and C. • Designed and implemented a control unit using Python and Xbee modules to communicate with a CanSat satellite from up to 2000 meters via its firmware, control its operations, and display real-time data received for data visualization. • Led the redesign and modeling of the ground station UI, creating a modern platform with more user-friendly features. • Wrote and designed unit tests and developed test branches to ensure component functionality and reliability
• Led the Archery Club at UCI. Responsible for organizing competitions, communicating with university club sports departments and USA Archery, and overseeing club business. • Worked with the club board to manage over 100 club members, organizing logistics of attending multiple tournaments, hosting several events, and ensuring all practices and sessions ran smoothly.
• Developed neural networks-based algorithms using C++, PyTorch, and Raspberry Pi for autonomous drone navigation and obstacle avoidance • Utilized deep reinforcement learning to replace the traditional PID controller with an autonomous drone controller for more adaptability and learning capacity. • Integrated a Vicon system to enhance drone vision and object detection compared to a mounted drone camera
• Developed a full-stack platform for building neural networks and designing quantum circuits using React and Django • Designed and built internal systems to manage user requests, accounts, and admin view, increasing resources by 82% • Integrated the application with AI models to auto-build and generate neural networks based on input designs • Engineered a PostgreSQL database, incorporating advanced security measures to ensure data integrity and protection • Deployed and scaled the platform on AWS using S3 and EC2, achieving a 60% increase in application performance