- Led the backend development for a data capture project using Flask and Django, focusing on creating robust and scalable solutions with high attention to software security. - Implemented secure authentication mechanisms to safeguard user data, ensuring compliance with industry standards. - Collaborated closely with the frontend team using Angular to ensure seamless API integration, addressing issues through debugging and enhancements. - Partnered with the testing team to validate API functionality, guaranteeing it met client requirements and maintained high standards of quality. - Deployed applications in a Docker environment, streamlining the deployment process and improving system reliability while conducting research in design and development. - Managed and optimized PostgreSQL database operations, enhancing data consistency and query performance for effective electronic data processing software. - Conducted regular code reviews and implemented best practices to elevate the team's coding standards and improve project outcomes. - Engaged in client communication to gather requirements and provide updates, ensuring alignment with business objectives and expectations.

Collaborated with Risk Analysts to develop simple, efficient solutions that supported critical financial market operations, enabling quick adaptation to market changes.- Improved system reliability and performance by 30% through well-architected system development, focusing on clarity, maintainability, and efficiency.

- Installed and configured tools like SQL Server Management Studio and Visual Studio Code for effective data management and development activities. - Utilized Python scripting for data extraction and cleaning, addressing formatting issues and enhancing data accuracy in alignment with project design goals. - Monitored SQL Server to ensure successful data imports and resolved any errors, thus maintaining data integrity for accurate results documentation. - Extracted and organized data from HP Quality Center into Excel for reporting and analysis, aiding in the multidisciplinary research process. - Collaborated with clients to ensure operations ran smoothly and aligned with the project's design and functional objectives. - Completed data migration tasks, ensuring data consistency and reliability, supporting the development of mathematical and logical software solutions. - Facilitated scheduled meetings to address client requirements and project updates, contributing to a clear documentation and sharing of project information.

- Developed an AI chatbot using Google Dialogflow to enhance user interaction and automate responses. - Designed and implemented APIs for chatbot intents with the Flask framework and Python for seamless communication. - Managed data storage, ensuring that user input was securely stored in an SQL database. - Conducted debugging of web applications for clinical projects, ensuring high performance and reliability. - Completed a comprehensive six-month Python training program to strengthen programming skills. - Authored and maintained Swagger documentation for clear API specifications and ease of integration.- Collaborated with UI/UX designers to create front-end interfaces that met user experience requirements. - Engaged in team collaboration to improve project workflows and streamline deliverables. - Conducted thorough testing of the chatbot functionalities to ensure accurate responses and user satisfaction. - Implemented webhooks to connect Google Dialogflow with backend services, enabling dynamic interactions. - Participated in code reviews and contributed to best practices for software development within the team. - Assisted in training sessions for new team members, sharing knowledge on Python, Flask, and API

- Implemented encryption and authentication measures, resulting in zero security breaches and a 20% increase in positive user feedback on reliability and security. - Gathered monthly reports on data entry metrics, helping strategic planning and resource allocation