I'm Shreenandan Sahu, a Graduate Engineer Trainee (GET) at Bayer AG R&D. I hold a B.Tech in Biomedical Engineering from NIT Rourkela and an M.Tech in Clinical Engineering from IIT Madras.
I am passionate about developing innovative healthcare technologies by integrating electronics, embedded systems, software development, signal processing, and mechanical design. My work focuses on creating practical medical devices that improve diagnosis, rehabilitation, and patient care.
Over the years, I have designed and developed projects including bioimpedance analyzers, electronic stethoscopes, wearable rehabilitation devices, biomedical imaging applications, cloud-based patient monitoring systems, and photo-biomodulation therapy devices. I also possess a working knowledge of medical device standards including IEC 60601, IEC 62304, ISO 13485, and ISO 14971.
Bayer AG R&D · Bengaluru
IIT Madras · Chennai
NIT Rourkela · Rourkela
IIT Madras
NIT Rourkela
SCTIMST Trivandrum
CMC VelloreIIT MadrasNIT RourkelaSCTIMST TrivandrumCMC Vellore
Developed a low-cost bioimpedance analyzer using ESP32 and AD5934 with multi-point impedance measurement, automatic calibration, and a Python-based software interface for real-time control, visualization, and analysis.
Designed and developed a low‐cost electronic stethoscope with dual‐microphone adaptive noise cancellation, analog front‐end (AFE) filtering, and Python‐based real‐time signal visualization for heart sound.
Designed and developed an ePEG board, a portable rehabilitation device integrating ATmega328P‐based custom PCB, Bluetooth communication, and real‐time response tracking via an Android app.
Designed and developed a wearable medical device using ATmega328P on custom PCB for 830nm NIR light therapy. Integrated with app using HC-05. Validated on zebrafish model.
Built a Unity‐based mobile VR experience with an ATmega328P+HC-05 based universal handheld controller for navigating in the 3D space. Reconstruction of Konark sun temple of Odisha.
Designed and developed a music generating device from plant, based on opensource project. This device captures signal from plants and converts it into MIDI notes.
Developed multiple Tkinter based GUI for simple daily use apps like guessing games weather apps, pomodoro timer app etc. These incorporate the concepts of Classes and different components of Tkinter.
Developed a mini project to use G Sheet as database and live broadcast ECG from patient using arduino and HC05 based circuit. Graph Updates every 2 second.
Designed and developed an APP for visualizing and recording live PPG signal from ESP32 based patient monitoring system. Build using MIT App Inventor with functionalities like live, recording, alarm system and CSV file sharing.
Conceptualised and designed novel device to store insulin at a cooler temperature. Passively Cooled using the Evaporation techniques using a composite coolant i.e. mixture of Alcohol and Water.
Developed a novel rehabilitation concept for the upper body of Parkinsonism patients, utilizing mechanical principles involving gears and linear actuators to enable controlled front-back and side-to-side movements.
In this project I use python in Django as backend to call weather API and use the data to display the weather of a place using basic webdevelopment.
Image processing lab works which include basic spatial as well as frequency domain image processing and image restoration and concepts like segmentation, edge detection and image registration. Done using MATLAB.
