Hi!

PhD in Technology

Master of Science in Electrical and Computer Engineering Technology

Bachelor of Engineering in Biomedical Engineering

- Developed and optimized a neuromorphic architecture for printable organic neurons used in a Soft Robotic Skin with zero negative weights constrain.

- I was majorly involved in developing the Neural Network algorithm and testing the electrical neurons. The ANN was physically implemented, tested and verified.

- Built and Programmed a R/C race car to navigate the halls of a generated map at extreme speeds autonomously in a rally race.

- Utilized AMCL in ROS to acquire the IMU data and the Hokuyo LIDAR to localize ourselves in a known map

- Finished 3rd in KNOY 500 race.

- Drug Delivery Enhancement method using Electric pulses for breast cancer cells

- Optimized the electric field strength and pulse duration to increase the drug permeability in breast cancer cells.

- performed multiple label-free quantitative proteomics studies on various drugs and analyzed over 30,000 proteins and genes to study the mechanism of action

- Performed feature selection for housing price prediction by performing Data Wrangling and Exploratory Data Analysis.

- Reduced processing time for data pipelines by 1.5 times using Dask and PySpark.

- Created a dashboard for visualization of the features that influence the price of a house for each zipcode in NYC boroughs.

- Built Linear Regression, Decision Tree and Ensemble models to accurately predict the price of a house in NYC boroughs.

- Utilized building meta-data and weather data to predict a building's water, electricity and gas meter readings.

- Performed data cleaning and exploratory data analysis to identify outliers, impute missing data and identify correlations in data.

- Improved model predictive power by performing feature engineering and used LightGBM model to train on the data.

- Utilized cross-validation to train and evaluate the model and visualized the results by performing PCA on the data.