I'm a passionate Software Engineer with a strong focus on systems analysis, optimization, and data analytics. With a proven track record of leading teams and delivering high-impact projects, I thrive in dynamic and challenging environments. Below are some highlights of my key projects and expertise.

• Role: Developer, Solution Architect
• Description: Football Oracle is a sophisticated web application that revolutionizes the way football enthusiasts and professionals access player analytics. Leveraging advanced data management techniques, the system provides comprehensive, data-driven insights on football players, enabling users to make informed decisions whether they are fans, fantasy football managers, or industry experts.
• Tech Stack: Java, Spring Boot, Hibernate, PostgreSQL, RESTful APIs, JWT for secure authentication, SonarQube for quality checks, Docker for deployment
• Key Achievements:

1. Engineered a robust backend using Spring Boot, facilitating scalable and efficient data handling and API responses.
2. Implemented JWT authentication to ensure secure user access and data transactions.
3. Utilized PostgreSQL for reliable data storage and Hibernate ORM for efficient object-relational mapping.
4. Integrated SonarQube to maintain high code quality through continuous inspection.
5. Enabled easy application deployment and testing using Docker, enhancing development workflows.

• Role: Developer
• Description: Analyzed latency and quality of service implications when choosing different edge and cloud nodes for IoT and Edge Computing applications. This project provided insights into optimizing performance for IoT deployments.
• Tech Stack: Python, OpenCV, Virtual Machines (Linux servers), Raspberry Pi, AWS EC2, AWS Greengrass
• Key Achievements:

1. Conducted comprehensive analysis of latency and quality of service for various edge and cloud configurations.
2. Deployed and managed virtual machines on Linux servers and Raspberry Pi to simulate different IoT environments.
3. Utilized AWS EC2 and AWS Greengrass to integrate cloud services and enhance data processing capabilities.
4. Produced detailed reports highlighting performance implications and provided recommendations for optimal setups.

• Role: Developer
• Description: Developed an advanced autopilot system for drones leveraging computer vision for navigation within a vehicular network using visible light communication (VLC). This project aimed to enhance the precision and reliability of drone navigation.
• Tech Stack: OpenCV, Python, Web-sockets, SITL & HITL, Pixhawk, Raspberry Pi
• Key Achievements:

1. Designed and implemented the autopilot system using OpenCV and Python for robust computer vision capabilities.
2. Established reliable communication channels using Web-sockets, integrating SITL and HITL simulations to ensure accuracy and performance.
3. Utilized Pixhawk and Raspberry Pi for hardware interfacing and real-time data processing.
4. Conducted extensive testing and optimization to improve data processing efficiency and system response times.

• Languages: Java (SE & EE), Python, Go
• Frameworks: Spring Boot, Django, React JS
• Tools: Git, Docker, RESTful APIs, GraphQL, Kubernetes, JUnit, Selenium, Postman, Swagger, SonarQube
• Databases: PostgreSQL, MySQL, MongoDB
• Cloud: AWS, Azure
• Methodologies: Agile, Scrum, SAFe

• Led a team of 10 analysts to develop Activ and Kcell SuperApps, reducing downtime by 20% and increasing NPS score from 2.5 to 4.1.
• Enhanced productivity by 15% for 20 local SMEs through optimizing business processes using Big Data Analytics.
• Published 8 scientific papers in renowned journals including IEEE Proceedings, ACM, Elsevier, and MDPI.