Artera is the patient engagement platform that allows enterprise healthcare systems to communicate with patients in their preferred medium, whether that’s text, email, phone, or Live Chat.

It enables secure, interactive text conversations using existing practice phone numbers — making it as easy for patients to communicate with their doctors as they would with a friend.

Founded in 2015, Artera is utilized by some of the leading healthcare systems, including Houston Methodist and Sansum Clinic.

Interpretation.ai:

• Designed and developed Bjoern-WSGI flask servers for data ingestion and retrieval. Reduced the data retrieval time from AWS S3 by 60 % by retrieving the data in parallel using Redis Queue, Thread pool, and Memcached

• Designed and developed several server-side REST APIs, and unit tests for Tornado web server

• Developed and maintained several repositories and led the development of several features

• Designed and Developed the MongoDB collections and enforced schema using mongoengine/pymongo and improved the query speed by more than 50%

• Helped in dockerization of modules and implementation of GIT CI/CD pipelines to improve portability and reliability

• Designed and developed the microservices for scheduling long-running processes using Redis RQ task queue

• Designed, developed, and managed CGIs message queuing system using Redis and Pusher

• Made the CGIs backend system more robust by adding unit and integration tests

using PyTest, Tornado Async HTTP tests, and Flask testing frameworks

TGS-NOPEC Geophysical Company (www.tgs.com):

• Helped in transforming the PyTorch model to Tensorflow to support native TPU distributed training

• Decreased the training time by improving the Tensorflow model to support Multi-GPU and Multi-node distributed training

• Improved the scalability and performance of Tensorflow model inference using Dask and NVIDIA triton inference server

• Helped in design and development of connected vehicle system for City of Tallahassee

• Helped in requirement analysis and procurement of Security Credential Management System for Connected vehicles

• Analyzed the Weigh-in motion data using Pandas and NumPy to classify the vehicles

• Statistically analyzed the data using Matplotlib, Seaborn, and Scipy to detect the measurement errors due to environmental factors

• Taught Introduction to C++ and Object-oriented programming with C++