Full Stack Developer
Current• Working in agile environment and developing CI/CD (Continuous Integration and Continuous Deployment) pipeline through Jira, GitHub, Docker Hub, Supported Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud. Deployed Application using AWS EC2 Standard Deployment Techniques and Worked on Amazon web services (AWS) infrastructure with automation and developed Server-side automation using Node JS scripting and connecting different types of SQL and NoSQL stores from Node JS following MVC Architecture.• Developed entire frontend and backend modules using Python on Django Web Framework. Worked on designing, coding and developing the application in Python using Django MVC.• Built database Model, Views and API's using for interactive web-based solutions. Used Django API's to access the database. • Pulled the data from different sources, managing the release lifecycle and transforming the data so that it could be pushed into communication portal via REST APIs Scala Microservices.• Implemented a distributed messaging queue to integrate with Cassandra using Apache Kafka and Zookeeper. • Used Apache CouchDB (NoSQL) in AWS Linux instance in parallel to RDS MySQL to store and analyze client data information. Implemented programming automations using Jenkins and Ansible on Linux based OS over cloud like Docker.• Application of various machine learning algorithms and statistical modeling like decision trees, regression models, neural networks, SVM, clustering to identify Volume using Scikit-learn package in python, MATLAB.• Worked on predictive modeling with deep learning utilizing the submodules of the open source framework of PyTorch. Performed efficient computation and automatic differentiation on graph-based models in mathematical library of PyTorch.• Involved in software development life cycle (SDLC) of tracking the requirements, gathering, analysis, detailed design, development, system testing and user acceptance testing in python.