Mendel is a clinical AI platform for life sciences and healthcare organizations that deciphers health data with clinician-like logic. It indexes structured and unstructured data and replaces the complexity of querying with the simplicity of chatting.

Received RWE(Real World Evidence) Training on Optum’s Electronic Health Record(EHR/EMR) data

• Developed pipeline with multiprocessing capabilities to ingest Real World Evidence for 1⁄3 of the American Populus

• Developed codebase to train a Convolutional Neural Network in Pytorch for model capable of Early Prediction of

Pancreatic Cancer

• Designed and Implemented custom pySpark ETL jobs for Big Data Transformations over datasets containing billions of rows

• Trained models using cloud based GPU

• Exceeded AUC, and Sensitivity

Engaged in curriculum that explores artificial intelligence technologies, and the creation of systems that function well when embedded in human workflows. Course instruction was supplemented by an internship and projects working with industry partners

• Partnered with Otus (Software based K-12 Learning Management company) to develop an AI assistant tool for teachers by utilizing

a KNeighborsClassifier for model development and flask for api deployment.

• Created app testing classes by using Pytest, and utilized bitbucket pipeline for easy product deployment(created by using .YML).

• All development was completed in Python

Hexient is an HR software company that helps recruiting teams make smarter hiring decisions by providing them with real time insights

into their candidate’s job relevant skills. I developed the backend functionality of the product by utilizing PhP, and Javascript(JQuery)

and developed the database functionality by utilizing mysql in a hosted cloud web service. I developed the initial functionality for the Api

by utilizing Python Flask. - https://hexientsolutions.com/