Maneesh Malyala

I am motivated and detail-oriented experience in cloud computing , infrastructure automation, and system administration . Proficient in deploying, managing, and optimizing cloud environments, primarily Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes) Eager to contribute technical skills and problem-solving abilities to a dynamic team and grow within a challenging cloud engineering role.

• AWS assessment certification

IoT-Enabled Smart Bridge for Flood Monitoring

Duration : 4 Months

• Designed and implemented a smart bridge system using Arduino, soil moisture sensors, servo motors, and a buzzer to monitor flood conditions and prevent infrastructure damage
• The future scope for the "IoT-enabled Smart Bridge" project holds great promise in revolutionizing disaster management and mitigation strategies. As climate change continues to increase the frequency and intensity of extreme weather events.
• the integration of IoT technology into flood monitoring systems becomes crucial. Advanced sensors deployed in flood-prone areas can provide real-time data on water levels, rainfall, and river flow, enabling accurate and timely flood predictions.
• The future development of this project may involve the incorporation of machine learning algorithms to analyze historical data and improve prediction accuracy.
• Integration with satellite imagery and weather forecasting models could enhance the system's predictive capabilities.
• Its most upcoming future projects in India

Automatic Railway Gate Control System

Duration : 4 Months

• • Developed an automated railway gate control system using Arduino, IR sensors, servo motors, LEDs, and a buzzer to
• improve railway crossing safety.
• • Utilized IR sensors to detect train positions, enabling precise gate operation through servo motors, and integrated visual (LEDs) and auditory (buzzer) indicators for real-time alerts and warnings.
• Looking ahead, the future scope for the Automatic Railway Gate Control System is promising, with several avenues for further development and implementation.
• As technology continues to advance, there are opportunities to enhance the system's capabilities, improve its efficiency, and expand its applications.
• One potential area of development is the integration of advanced sensors and artificial intelligence algorithms to enable predictive maintenance and fault detection, thereby increasing the system's reliability and reducing downtime.
• Additionally, advancements in communication technologies, such as the Internet of Things (IoT) and 5G