Khayati Mehta

I’m a hardworking, self-driven engineer who values consistent effort, discipline, and learning through challenges. Right now, I’m pursuing a Master of Science at Ulm University, building depth across Communication & IT while staying hands-on with real systems.

In my Embedded Communications Engineering Intern role, I developed an STM32F4-based localized data acquisition prototype to monitor critical parameters and wrote C firmware to process 4–20mA analog signals. I interfaced the microcontroller with RS485 to transmit telemetry to a central SCADA system via Modbus, achieving a stable 200ms update rate during testing, and reduced false-positive warning alerts by roughly 15%.

I also contribute as a Web Developer and an applied AI researcher—publishing work that improved accuracy by 18% and reduced computational overhead by 27.4% using transform-based techniques. Through projects and ongoing research, I build end-to-end solutions with Python (Pandas, NumPy, scikit-learn), and I’ve developed VLSI design and optimization workflows using Cadence tools and verification flows (DRC, LVS, PEX).