Experience
A timeline of my academic research positions, traineeships, industrial internships, and engineering roles specializing in analog IC design, hardware prototyping, and instrumentation.
Research Assistant
Engaged in the system prototyping and CMOS IC design architectures for advanced magnetic field sensing technologies under the supervision of Prof. Maryam Shojaei Baghini. Developed high-precision electronic readout systems utilizing commercial Hall effect sensor ICs, focusing on frontend optimization for targeted industrial sensing applications.
Researching and designing a novel CMOS signal conditioning integrated circuit (IC) explicitly optimized for magnetic sensing micro-topologies. Focused on silicon-level block implementation to interface with sensor elements while managing strict noise floor and precision constraints.
Academic Project Trainee
Developed a high-precision Signal Conditioning Unit (SCU) designed for ozone quantification in a Martian UV photometer instrumentation payload. The core challenge involved optimizing analog circuit topologies and PCB layouts to isolate and resolve 0.1 nA current fluctuations riding on top of a 700 µA base photodiode current, adhering strictly to ultra-low noise floor requirements.
Designed and executed end-to-end setups for diurnal solar flux characterization using a high-precision Keysight B2981A femtoammeter paired with an SG01XL-BC5 photodiode. Developed custom Processing Card and Python frameworks to process, analyze, and visualize high-resolution current-over-time data streams to calculate accurate radiation doses.
Firmware Development Intern
Engineered and debugged bare-metal, register-level embedded C firmware codebases for ESP32-S3 using Espressif IDF. Architected low-level driver abstractions for critical hardware communication protocols including SPI, I2C, and UART peripherals to interface seamlessly with varied sensor suites.
Optimized system-level power consumption by designing efficient low-power sleep state cycles and interrupt-driven scheduling to significantly maximize hardware field battery life. Built robust Python data acquisition dashboards for real-time telemetry rendering and automated sensor hardware calibration.