Expertise & Achievements

Proven technical excellence in embedded systems, medical technologies, and software development with measurable impact

8+
Embedded Projects
3.98
GPA / 4.0
2+
Years Industry Experience

Technical Skills

Programming Languages

C

Python

C++

MATLAB

Embedded Systems

ARM Architecture

FreeRTOS

e2studio

Medical Technologies

EEG

BCG

BCI Systems

Development Tools

Linux

Simulink

LabView

Yocto Project

Innovation Showcase

Demonstrating technical expertise through compelling project case studies that show real-world impact

BCI-Based Hand Rehabilitation System

Developed robotic glove controlled by EEG signals with 95% classification accuracy using SVM and FBCSP algorithms. This innovative system bridges neuroscience and robotics for enhanced patient recovery.

Technical Stack:
Python SVM FBCSP EEG Processing Arduino
Best Project Institution-wide

Ballistocardiography Sleep Analysis

Research collaboration with Torrens University on BCG-based sleep stage classification, advancing non-invasive monitoring technologies for better sleep health insights.

Technical Stack:
MATLAB Signal Processing Machine Learning BCG Analysis Research
University Collaboration

Smart Medical Wearables Suite

Created tremor detection device with MPU6050/ESP8266 and smart knee cushion with IMU sensors for osteoporosis monitoring, enabling continuous health tracking.

Technical Stack:
ESP8266 MPU6050 IMU Sensors IoT C++
Medical Innovation

Professional Journey

A timeline of hands-on experience and academic excellence in biomedical engineering and embedded systems

R

Renesas Electronics

Embedded Application Intern

Feb - Sep 2024

Developed FreeRTOS applications with RA microcontrollers, managed Linux-based SoC systems, and implemented communication protocols including SPI, UART, I2C, and CAN. Gained hands-on experience with embedded systems architecture and real-time operating systems.

D

Dozee

Project Intern

Dec 2022 - Jan 2024

Designed surface transducer circuits for medical monitoring applications, collected and analyzed BCG (Ballistocardiography) signals, and developed microcontroller-based BCG simulator systems for healthcare technology advancement.

UA

University of Arkansas

Global Exchange Student

Aug - Dec 2022

Designed the ErgoPlat laparoscopic surgery platform using Coppelia Sim simulation software. Presented innovative surgical robotics solutions to industry experts, demonstrating advanced biomedical engineering applications.

Educational Excellence

Georgia Institute of Technology
MS Biomedical Engineering
BMS College of Engineering
3.98/4.0 GPA
Bronze Medalist

Ready to Innovate Together?

Currently seeking opportunities in biomedical engineering, embedded systems, and medical device development. Open to collaborations, internships, and full-time positions starting 2024.

Based in Bangalore, India | Available for remote collaboration | MS program begins Fall 2026

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Email Direct

sahana.srinivas.562@gmail.com

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Georgia Tech Email

ssrinivas70@gatech.edu

Academic Contact

Direct Contact

+91 9148736242