Electrical & Computer Engineering | Carnegie Mellon University

Saahas Parasa
Computer Systems Engineer

Architecting the hardware foundations for Physical AI from low-level systems programming in C to custom mixed-signal circuit design.

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Engineering at the
intersection of bits and atoms.

I am an ECE student at Carnegie Mellon focused on Hardware Systems. I bridge the gap between high-level AI and the silicon it runs on.

Whether it's building transimpedance amplifiers for biometric sensing or optimizing PID control loops on embedded microcontrollers, I build the "brains" that make autonomous machines intelligent.

0 Iterations of
Hardware Design
0 Design
Awards
Professional Headshot
Bio-Robotic Hand Research

Haptic Sensing System | CMU Biorobotics Lab

Engineered a magnet-on-Hall-sensor system to translate physical pressure into digital haptic feedback loops. Optimized sensing sensitivity through custom flexure structures to enable vision-free object recognition.

Signal Processing Embedded Systems Hall Sensors
2026
IR Pulse Oximeter Circuit

Analog Front-End: IR Pulse Oximeter

Designed a high-precision biometric sensor utilizing transimpedance amplifiers and RC filters. Extracted low-amplitude biometric signals from high DC offsets and implemented hardware-level signal conditioning for Arduino ADC integration.

Mixed-Signal Design Op-Amps
2026
RFID Circuit Simulation

125kHz RFID Demodulator

Built a multi-stage envelope detector to decode 125kHz carriers. Focused on hardware-software co-design to facilitate real-time data decoding on resource-constrained microcontrollers.

RF Engineering Oscilloscopes
2026
Autonomous Red Robot

Autonomous Competition Robot | CMU Red Robot Hackathon

Programmed a Raspberry Pi Pico-based robot utilizing Java to coordinate motor functions and sensor inputs. Developed a custom PID-based control system for autonomous scoring, ranking 2nd out of 32 teams with a score 69% above the field average.

Java Raspberry Pi Pico PID Control Embedded Systems
2025
FRC Robotic Elevator

Dual-Stage Vertical Lift System | FIRST Robotics

Designed a 6-foot custom two-stage robotic elevator using CAD and bike-chain drive systems. Developed custom Python scripts for AprilTag detection and autonomous navigation, resulting in a 94.3% autonomous scoring success rate.

Python Computer Vision CAD AprilTag
2024
Systems & Software
C (18-213) · Python · Java · Git
Hardware Systems
SystemVerilog (Learning) · PCB Design · Oscilloscopes · Analog Circuits
Robotics/AI Control
PID Control · OpenCV · Raspberry Pi · NumPy
2025 — PresentCMU Biorobotics Lab
Biorobotics Student Researcher

Engineering bio-inspired robotic hands for high-fidelity tactile sensing. Developing a magnet-on-Hall-sensor system to translate physical pressure into digital signals for precise haptic feedback loops. Utilizing Fusion 360 to iterate through 17+ soft-robotic mold designs and 3D printing flexure-based finger structures.

2024 — 2025FIRST Robotics #10499
Lead Robotics Engineer & Programmer

Architected the full software stack for real-time communication between motor controllers and sensors. Designed a custom 2-stage robotic elevator in CAD and developed Python scripts for AprilTag detection and autonomous navigation, achieving a 94.3% scoring success rate.

2024 — 2024NexStudent Network
Computer Science Tutor

Authored technical curricula for Python, Java, and Machine Learning delivered to 310+ students. Managed bi-weekly cohorts through project-based learning on Google Colab, achieving a 98.1% satisfaction rate.