• Architected and launched a high-performance Python Flask based accounting system that processes key-value JSON data from POS transactions, enabling real-time financial insights for over 300+ business clients.• Enhanced backend performance by advanced SQL optimization, including indexing, query rewriting, and partitioning strategies, increasing retrieval speed by 40% and reduced query response times by 30%.• Contribute a robust microservices architecture using Java Spring Boot, Redis, Apache Kafka, Orcale and Nginx as a Reverse Proxy, enabling the system to handle up to 1,000+ requests per second (RPS), leveraging distributed system patterns to support peak usage and uninterrupted financial reporting.• Integrated an RPA (Robotic Process Automation) system to automate website data collection and real-time report generation from various websites, reducing redundant tasks by 90% and cutting operational costs 40%.

• Built an online platform where companies post Request for Proposals (RFPs) and contractors submit proposals, helping businesses select the best bid for their projects, reducing time to issue RFPs by 40%• Developed RESTful APIs using Express and Node.js to handle CRUD operations for user profile and documents, and data retrieval, utilizing MySQL as persistent storage• Redesigned database schema and migrated the database and API code from Firebase (NoSQL) to Prisma (SQL), enabling better handling complex queries and ensuring data consistency• Implemented Redis as a caching layer to store frequently requested data, complex query results, and session data, reducing data retrieval time by 90% and preventing database bottlenecks during periods of high traffic• Automated CI pipelines using GitHub Actions, streamlining build and deployment to Azure Static Web Apps, reducing manual deployment efforts by 80%, which accelerated development workflow

• Enhanced the platform by developing a paper trading feature that allows customers to simulate stock trading with virtual funds, which increased user engagement and retention on the platform by 30%• Developed trade execution and portfolio APIs using Python Flask, achieving 80% code coverage through unit tests using Pytest and Pytest-mock, contributing to a more testable and secure application• Integrated MongoDB alongside MySQL to handle specific low latency use cases such as real-time market data ingestion and trade activity logs, resulting in a 30% reduction in query responses times• Implemented identity authentication functionality in user management model with JSON Web Tokens (JWT) to ensure secure login