Hi! My name is
Ronil Synghal
I am a bioengineering and robotics student at the University of Pennsylvania with a
passion for
About Me
I earned my BSE in Bioengineering from the University of Pennsylvania in May 2022 and am currently pursuing my MSE in Robotics at Penn with an anticipated graduation in December 2022. A few of my strongest skills include frontend development using Javascript frameworks, data analysis/visualization using Python/SQL, and machine learning. I am particularly passionate about using data to design and create meaningful products that provide a great experience to users.
I always look forward to learning new ideas and I'm constantly looking for ways
to improve my
work.
Let's build
something together.
Outside of academics and my professional interests,
I'm a dancer, amateur music producer, 2nd degree
black belt, and TV lover!
skills
languages
frameworks / libraries
tools
MSE in Robotics
University of Pennsylvania
BSE in Bioengineering
University of Pennsylvania
High School
The College Preparatory School
UX Developer Intern
Illumina
AI/ML Instructor
Inspirit AI
Full Stack Engineer
Stealth Startup
Machine Learning Research Intern
Radhakrishnan Lab
Engineering and Business Analyst
Kaiser Permanente
Latest Works
View project
CliniCall
Project Brief
My team and I developed, over the course of one year, a wearable device that allows physicians in hospital to capture real-time patient conditions and communicate via video/audio with on-call attendings from home.
Check out our initial pitch video
here!
Check out the final presentation
here!
Project Info
- Date - 2021-2022
- Tools - Raspberry Pi, Python, Rhinoceros 3D
- Status - Completed
View project
CKD Risk Stratification
Project Brief
I designed an early warning system for a nephrology practice that uses 7 components of medical history to automate
risk-stratification for 3000 patients, in order to better inform clinicians, encourage preventative care, and reduce
hospitalizations.
*The images below are edited to protect the privacy of the medical practice and its patients.
Project Info
- Date - 2021
- Client - Dr. Arika Gupta
- Tools - React, InVision
- Status - In progress
View project
Employee Motivation Assessment
Project Brief
I developed an end-to-end application for the data-driven psychological assessment of employee motivation, involving databases, API design, Natural Language Processing (NLP), and UI/UX. The application used an algorithm to automate the scoring process for the thematic apperception test, yielding faster and more accurate results.
Project Info
- Date - 2021
- Client - Dr. Brad Spencer
- Tools - HTML/CSS/JS, Python (Dash, Flask), Invision
- Status - In progress
View project
Social Companion Robot
Project Brief
I designed and prototyped a social robotic assistive device that acted as a translator and companion with a reminder/alert system in order to help an elderly client stay connected to family and friends. The project involved end-to-end product management, from early-stage brainstorming to building the final solution.
Project Info
- Date - 2020
- Tools - SolidWorks
- Status - Completed
View project
Bluetooth Enabled ECG
Project Brief
For a project intended to monitor fatigue of astronauts during space operations, I designed an electronic circuit to
extract and condition ECG signals and transmit them to a PC over Bluetooth for portable cardiac monitoring. I also
developed algorithms for ECG waveform analysis and biomarker detection to be used after filtering respiratory and
heart rates from ECG data.
Check out the live demo here!
Project Info
- Date - 2021
- Tools - SolidWorks, Arduino, MATLAB
- Status - Completed
View project
Personal Portfolio
Project Brief
This is the first iteration of my personal website, created using HTML, CSS and Javascript. I've added a light and dark mode as well as a system to easily change the color theme across the whole website.
Feel free to leave me any feedback!
Project Info
- Date - 2021
- Tools - HTML, CSS, Javascript
- Status - Completed
- View Github
View project
Fall Detection System
Project Brief
A human factors solution for the prevalent issue of falls at the Children's Hospital of Philadelphia. My team used
root cause analysis, quantitative analysis of hospital data, and qualitative analysis of patient/nurse surveys to
provide 3 recommendations to hospital administration.
We also built and tested a prototype for a fall detection
device and alert system using SolidWorks and Arduino.
Project Info
- Date - 2019
- Client - Children's Hospital of Phildelphia
- Tools - SolidWorks, Arduino, User Research
- Status - Completed
Contact Me
synghalronil@gmail.com
Phone
925-270-7001
Location
Concord, CA - Phildelphia, PA
