● Refactored the application's Elasticsearch core component for improved performance and scalability

● Created integration and acceptance testing suite

● Optimized search query performance for the main component and improved the query building mechanism for better scalability

● Implemented a builder pattern to enable automatic creation of Elasticsearch queries, streamlining the query creation process and increasing development efficiency 

● Implemented the CI/CD pipelines reducing manual efforts and errors

● Implemented container infrastructure for improved application scalability and reliability

● Implemented all necessary API endpoints

● Implemented security protocols to ensure the application is highly secure and compliant with industry standards

● Implemented all API endpoints

● Created data feeders to ensure that the PostgreSQL database for stocks was always up to date with the latest data

● Automated the collection of stock data through custom scrapers, improving the efficiency and scalability of the data acquisition process

● Implemented security protocols to ensure the application is highly secure and compliant with industry standards 

● Implemented queuing mechanism for storing data structures in Redis

● Implemented custom algorithms to identify various trade setups

● Implemented visualization techniques to help analyze stored data for better insights and decision-making

● Integrated logging mechanisms to enhance system monitoring and reliability 

● Designed the software architecture, defining the system's components, their relationships, and communication protocols

● Developed and integrated user-specific trading algorithms to facilitate personalized investment decisions

● Created a real-time interface between interactive brokers and gmail

● Implemented data ingestors and data processing for stock data 

● Developed API endpoints for performing technical analysis on a range of financial instruments

● Developed and integrated advanced financial indicators into the trading system to enhance its technical analysis capabilities

● Implemented security protocols to ensure the application is highly secure and compliant with industry standards

● Implemented the test suite which included unit tests for each component of the application and end-to-end testing to ensure the application works as expected

● Developed and integrated a specialized Monte Carlo simulation algorithm

● Implemented a suite of user-specific financial indicators to enhance the analysis of financial instruments

● Implemented the test suite which included unit tests for each component of the application and end-to-end testing to ensure the application works as expected

● Implemented charting libraries to display portfolio performance over time 

● Implemented a file uploader interface in Flask to allow for the seamless upload of large files

● Processed and cleansed raw data

● Created websockets to stream real-time instrument data to the PostgreSQL database ● Architected and deployed microservices utilizing Docker containerization to facilitate efficient processing of data.