Involved in end to end web application development for the ML solutions post the Model runs.Created data factory pipelines - Azure Data Factory to run different Machine Learning Models.Orchestration of data flow from Model outputs to RDMS.Web development involving popular Python frameworks - Flask, Django.Create APIs for the application backends - python frameworks used FlaskAPI, DjangoRestFramework, FastAPI.Create Asynchronous APIs to make the application more future ready.Working in Agile development style following all the best practises.

• Build applications for ETL/ELT processing in python and developing Rest API's for async and sync endpoints.• Deploying the applications in Azure cloud using docker and aks.• Process the data on AWS (Lambda and S3 buckets), load into SQL/NoSQL DBs.• Analyse the usage patterns of the users for different instances in the cloud system.• Experience in using different design patterns to develop applications from scratch.

• Experienced with full software development life-cycle, architecting scalable platforms, object oriented programming, database design and agile methodologies.• Experience in using Design Patterns as MVC, MVP, Decorators and respective frameworks.• Proficient in SQL databases like MySQL, SQLite3.• Experience in reducing the runtime of tasks using multi-threading and multi-processing concepts.• Knowledge in maintaining various versions of the code in GIT.• Experience in working with various Python Integrated Development Environments like IDLE, PyCharm, Jupyter Notebook, Visual Studio.• Exposure to various Python Libraries like requests, Django, flask, xml, numpy, pandas, and more during the development lifecycle.• Deep understanding of HTTP methods, RESTful architecture.• Strongly follow PEP-8 coding standard and test a program by running it across test cases to ensure validity and effectiveness of code using PyChecker and PyLint.• Experience in creating an executable Python (.exe) applications using PyInstaller.• Involved in Unit testing using Pytest and unittest.• Recent interest in learning PySpark, AWS.• Ability to successfully multi-task and prioritize work to deliver efficient outputs.

• Responsible in Developing Build Automation.• Experienced with software development life-cycle using waterfall methodologies.• Proficient in working with databases like DB2, IMS-DB.• Displayed and proved capability to learn new technologies.• Modify existing software to correct errors, to adapt it to new requirements, or to upgrade interfaces and improve performance.