Shardul
Rakshit

About me

Aspiring blockchain developer and entrepreneur
Passionate about applications of AI and blockchain to challenges in healthcare and DeFi

I am currently a fullstack software engineer at Longevity inTime BioTech, a startup developing online healthcare tracking technologies for early-stage prediction of health complications using AI.
I recently graduated from Johns Hopkins University (2018-2022) with a BS in Biomedical Engineering and minor in Computer Science.
In my free time, I enjoy clinical volunteering at local hospitals and hospice centers, investing in cryptocurrencies, hiking, and reading mystery novels. I also really enjoy learning about innovative medical prognostics and therapies that are being developed through reading scientific journal articles.

Experience

See my LinkedIn or Resume for the most up-to-date and detailed career experience.
Longevity InTime BioTech
Skills: AI, ML algorithms in Python (Pytorch, Keras, Scikit-learn, Scrapy), Django, REST architecture and APIs, MVC architecture, HTML/CSS/JS, JSX, ReactJS, VueJS, Bootstrap, jQuery, PostgreSQL, MySQL, Flutter, AGILE development
Delineo Disease Modeling Project at JHU Dept. of Computer Science
Skills: MongoDB, ExpressJS, ReactJS, NodeJS, Python, R
National Institutes of Health , Laboratory of Cardiovascular Science
Skills: MATLAB, Algorithms and Data Structures, Differential Equations and Discrete Mathematics, Shell Scripting, Image Processing
Johns Hopkins Institute for NanoBioTechnology
Skills: SolidWorks, Arduino microcontrollers, Raspberry Pi, Python, Digital signal processing

Volunteering

Child Life Volunteer at Johns Hopkins Hospital
Assisted with and provided emotional comfort to children of varying ages and their families before surgery in the pre-op department
GreenHacks
Helped organize, coordinate, and recruit undergraduates for GreenHacks, an annual sustainability hackathon at JHU dedicated to renewable energy solutions and nature conservation
JHU Heart and Stroke Awareness (HASA)
Coordinated with American Heart Association and raised funds for Greater Maryland Heart Walk, an annual fundraiser for recovering stroke and heart attack victims
JHU Tutorial Project
Tutored adults preparing for their GEDs of all ages in reading and math in the Baltimore area

Projects

  • Delineo Disease Modeling Project
    - Performed a geospatial analysis on census, covid time series data, and GIS mobility data through Python and SQL to determine impacts of covid on mobility by geographic regions and time frames
    - Developed a statistical model to forecast effects of social distancing policies by SES, occupation, and poverty
  • C4 Tetraplegia Wheelchair Modification
    - Developed and engineered wheelchair modification attachment with a team of 10 undergraduates for a C4-5 quadriplegic power wheelchair user paralyzed below the shoulders so that he could play with his newborn child without physically injuring him
  • Greenhouse Gas Emissions Tracker
    - Shiny web app in R that uses ML regression techniques on CO2 emissions data to predict future global environmental trends in climate change
  • US Flight Delay Tracker, takes 30 sec to load
    - Shiny web app in R that visualizes and predicts future flight delays to US airports using Department of Transportation data from 2003-2021
  • Late-Commutes
    - Web app that notifies an emergency contact by text when you are running late on a walk, drive, or transit while using google maps