My Roles and Responsibilities are as follow:- Code reviewing and optimization.- Implementation of best practices in Django, Flask and FastAPI.- Implementation of AWS S3 Bucket on Django and Flask for file storage.- Implementation of Celery for handling background task in Flask.- Writing Dockerfile and Docker-Compose.yml file for dockerization of Project.- Writing Kubernates Config file for deploying project.VoxShift:- Tasked to create a realtime voice changer for online meetings such as Google Meet, Teams, or Zoom.- Designed a robust Application Software which can entirely change the voice .i.e, tone, ascent, speed as well pitch of the original voice and convert an entirely new voice chosen or customised by user.- Created a virtual Microphone using which the newly created voice is presented to everyone in the meeting.- Integration of application with third-party library elevenlabs and playht.- Implemented a voice cloner using which I could anyone's voice and can use that voice in the meetings later.Deep Fake Video Generator:Tasked to create DeepFake for users by providing Image, Video or Audio.Designing a robust system for DeepFake Generation using FastAPI as the backend Framework.Developed a highly scalable Queue Management Service independent of any third party tools such as Redis, RabbitMQ with features such as fail-safe, report generation, realtime updates and on-demand process termination.Implemented a RealTime AI Calling feature to be change the nature of Video Conferencing done today.

TechChart Backend* Created backend server in FastAPI for TradingView Chart Components in the format accepted by TradingView.* Created Option_Chain details API from all trade data files for the entire day with the fly conversion.* Created OHLCV Data API for Symbols for back date and live data.* Created Low Latency API with Token Authentication Security. Python Scanner* Implemented a multi-threaded architechure which responds to multiple requests given by users.* Handled instruction cycle and user uniqueness, as multiple users ask for the same request or the sameuser asks for a different request every time user uniqueness is maintained.* Achieved using and successfully deploying the new web-based Python framework FASTAPI* Implemented User-Client architecture for using the functionality for Services As A Service.File Data API* Transfering Trade File Data over a REST Architecture using FastAPI in Python.* Implemented various formats and structures of trading data.* Compressing data for safety and light data transmission.* Implemented customer-designed user authorization and authentication using the details hashing.* Implemented User Access Token.* Implemented Descriptive User Documentation for Users as well as later Developers.Python NSE Feed* Handled different conditions including data swapping and non-compressed data handling.* Implemented Pub-Sub Model for receiving data using ZMQ.* Implemented JSON response when sending Market Data.Python Infra* Handled Different Order Statuses for all order packets using Python ctypes.* Handled Swapping in Order Packets.* Integrated Market Data displaying with Market Order placing in a strategy.* Created SpeedTest strategy.* Implemented strategy termination condition.* Handled Orders placed by different strategies.BackTesting* Nifty data backtesting.* Intraday Logic on Nifty and BankNiftyAutomation* Python Scripts for automation for Linux Operating System.

* Creating Backend using Python/Django using MySQL and MongoDB.* Handling Git and GitHub Repository for the entire project.* Dockerizing Project for Testing and Deployment purposes.* Creating and maintaining CI/CD pipeline using Jenkins and GitHub Actions.* Creating Web Automation Selenium Scripts for automation testing of webpages.* Verifying Backend API's using Postman and storing the Testcases for later auto-api testing.* Deploying Project on Google Cloud Platform using Different Tools such as App Engine, Compute Engine, Cloud Run.* Handling Cloud Databases Instances simultaneously.Site Automation Testing* Created an automated Test Script for different use-case scenarios. * Implemented the automation Test Script with different functionalities such as report generation. * Integrated the Automation Test with Jenkins CI/CD Pipeline. * Achieved a Testing Score of 80% on every build. * Used Python and Selenium for building the Test Script and Integrating it as well.CICD Pipeline* Created a Complete Automated CI/CD pipeline using Jenkins, Linux, Docker, GitHub and GCP Cloud Run for the development of Python Django Application.* First Created a Jenkins Pipeline using Jenkins File for 3 Steps i.e., Build, Test and Deploy.* Then Created a Docker file for the build stage for creating the build and Tested it. * Then Pushed the Docker Image on 2 different Docker Image Repo's i.e., Docker Image Registry and Google Cloud Registry. * From Google Cloud Registry, Fetched the latest build image and executed it on the Cloud Run Image execution service.

* Worked on Projects based on Django REST Framework.* Created CI/CD pipelines using GitHub actions as well as Jenkins.* Used Docker for containerization of applications for Local testing and Production deployment.