Jose Joy Email & Phone Number

Sunnyvale, Ca, Us

Mountain View, Ca, Us

Part of the web data indexing platform team

Seattle, Wa, Us

- Worked as an individual contributor for SageMaker Processing, a managed service that allows customers to run distributed data processing workloads.- Designed the API changes and workflow to integrate SageMaker with Snowflake; Enabled customers to use data from Snowflake and run data processing workloads with SageMaker.

Seattle, Wa, Us

- Designed the API changes and workflow to integrate SageMaker Processing with Amazon Athena and Amazon Redshift; Enabled customers to leverage these services for streamlining their distributed data processing jobs.- Enabled the launch of SageMaker DataWrangler, a feature that provides an end-to-end solution to import, prepare, transform and analyze data; led to simplification of Machine Learning workloads for multiple customers- Developed the functionality to automatically build, test and deploy the SageMaker Spark Container images, which can be used to run distributed data processing workloads on SageMaker.

La Jolla, Ca, Us

Teaching Assistant for Pattern Recognition and Machine Learning (ECE 175A)

La Jolla, Ca, Us

Teaching assistant for Statistical Learning (ECE-271 A)

Built a machine learning model to estimate relative size of objects from an RGB image. The model uses a mask rcnn backbone to identify and localize objects, and to extract features. A siamese network was used to compare the relative size of objects. Since there were no datasets available for this task, created an entire pipeline to scrape images, process images and used amazon mechanical turk to annotate the images.

Designed a machine learning algorithm for motion sensing in the field of tennis analytics and performance enhancement. Using our dataset, classified tennis shot types and predicted ball speed generated and sweet spot accuracy. The algorithm can give targeted suggestions to players based on data collected from a 9 axis motion sensor, to improve their play.Designed a machine learning algorithm for detecting stress, using Electrodermal activity (EDA) and Heart rate variability(HRV). The algorithm can be used to detect the onset of stress, and classify psychological and physical stress. With certain improvements, the algorithm can be used to predict seizures and alert the user.

Hillsboro, Or, Us

Developed a smart sensing algorithm using Compressive Sensing to improve network capabilities of Wireless Sensor Networks and IoT. Using only a subset of data from a sensor field, the data corresponding to the entire sensor network was reconstructed with good accuracy. Data acquisition from a subset of sensors would lead to lower power consumption and increased lifetime. The algorithm was also able to detect onset of anomalies and change operation flow accordingly.

Bangalore, Karnataka, In

Designed an adaptive motion sensing algorithm to determine the configuration of a robotic arm using MPU 9150 sensor. Instead of using an expensive absolute encoder for determining configuration of a degree of freedom, was able to use a cheaper incremental encoder and motion sensor to accurately find the angular displacement from a fixed point, which would lead to lower build costs.

Designed websites for various departments of Government of Kerala including the Department of Collegiate Education, Department of Drugs Control, using Joomla content management software.

Master'S, Electrical And Electronics Engineering

Bachelor Of Engineering (B.E.) Hons., Electronics And Instrumentation