Altaf specializes in developing ultra-efficient machine-learning solutions for tabular and time-series data. These solutions are compact in size, provide low latency and low power consumption, and are compatible with all current and legacy 8/16/32-bit MCU, DSP, and FPGA. With a background in building efficient intelligent systems from his doctoral research, he has worked on creating innovative solutions for a major US airline and a leading auto parts supplier. His professional background includes experience as an accelerometer-systems engineer in Silicon Valley, CTO of a brokerage company, CEO of two startups, consultant for software process improvement, and industrial controls engineer. He is always open to early-stage investment or advisory opportunities.