Technologies used: React JS, Python, JavaScript, AWS, Node JS, MongoDB, Kubernetes, Docker, Express JS, Streamlit, DynamoDB, RDS, REST API, Dash
● Architected evidence synthesis AI platforms using AWS Serverless components, Kubernetes, Docker, Python
● Designed, developed, and deployed elegant end-to-end web applications and REST API’s for the organization’s AI platform using React,
Redux, AWS, Node JS, CI/CD using AWS Code pipeline and Github Actions
● Designed and configured structured and unstructured databases and APIs to serve the front-end applications
● Developed a Data visualization application using React JS to visualize evidence frames produced by AI platforms
● Deployed JupyterHub on AWS EKS and Kubernetes to build a centrally managed notebook server and created docker containers with pre-configured
data science notebooks with added user login functionality using OAuth2 and configured pod autoscaling for GPU and CPU instances
● Built an Interface to integrate apps like Tableau, JupyterHub, ML Flow, Streamlit and handled user traffic using custom load balancers
● Customized CI/CD pipelines to build and deploy AI models and other applications in the organization
● Devised algorithms to extract data from open-source data libraries and visualized analysis using React, Dash, Python and JavaScript
● Developed lambda functions in Python to run AI prediction models and serve data to the front-end applications
