• Developed the frontend modules using React.js, HTML5, CSS3, JavaScript, and Bootstrap. Created dynamic components for managing schedules and displaying data from Excel sheets.• Built backend functionalities with Python (Flask/Django), including RESTful APIs for data processing and business logic. Implemented ETL processes to handle data extracted from Excel files.• Managed SQL database operations to store and retrieve scheduling and review data. Designed schema, optimized queries, and maintained data integrity.• Implemented cloud solutions using AWS services, including deploying the application on AWS EC2, managing file uploads with AWS S3, and hosting the SQL database with AWS RDS.• Worked on review front-end changes by examining React code, providing feedback, and ensuring adherence to project requirements and design guidelines.• Contributed to backend development by implementing new features, fixing bugs, and optimizing functionality related to calendar management and scheduling algorithms.• Optimized database performance using SQL queries to improve data retrieval times and application responsiveness.• Ensured secure communication between the React frontend and Python backend using HTTPS/TLS to protect data transmission and prevent security breaches.• Implemented authentication mechanisms with Python, setting up secure login/logout endpoints, user registration, password hashing, and session management.• Developed logging and monitoring systems to track security events, including successful and failed login attempts, access control decisions, and other critical actions for auditing.

● Implemented trade suggestion algorithms to provide financial advisors with optimized trading recommendations based on their portfolios and market conditions.● Created RESTful APIs to handle trade requests, process data, and deliver results to the frontend. Ensured efficient data flow and integration with frontend components.● Designed and managed the SQL database schema to support user profiles, portfolios, and trade data. Optimized database operations using SQL Alchemy/Django ORM to improve performance.● Processed trade requests and generated reports using Python libraries such as Pandas and NumPy. Developed features for trade journals, gain/loss reporting, and other analytics.● Collaborated with frontend developers to ensure seamless integration of backend services with the user interface, providing APIs and data endpoints for trade suggestions and portfolio views.● Implemented secure authentication mechanisms, including JWT tokens for session management and data protection.● Applied encryption techniques (e.g., AES) to secure sensitive trade and user data both at rest and in transit.● Conducted regular security audits and code reviews to identify and mitigate vulnerabilities.● Implemented security measures to protect sensitive financial data. Used Python libraries for secure authentication, data encryption, and session management.● Enhanced system performance by profiling and optimizing Python code and SQL queries, resulting in reduced latency and improved throughput.● Optimized system performance by refining algorithms and queries, reducing processing times for trade requests, and enhancing overall application responsiveness.