ANJANA TULASI DEVERAPALLI

With over three years of hands-on experience in cloud automation, middleware support, and backend engineering, I specialize in building infrastructure that just works—securely, efficiently, and at scale. I bring a systems-thinking approach to engineering, blending my background in Java and REST APIs with real-world problem-solving in Oracle Fusion Middleware, CI/CD practices, and observability tooling. Whether optimizing system uptime, leading critical migrations, or integrating cloud platforms, I focus on engineering with impact—reducing manual overhead, enabling seamless deployments, and ensuring reliable user experiences. Now completing a master’s in computer science, I continue to bridge industry demands with academic innovation, always looking ahead to what’s next.

AVATAR

• This open-source project from the Cloud Computing Club at Saint Cloud State University uses machine learning to remotely pilot a drone through brainwave donations. An OpenBCI headset captures brainwaves, which are anonymized and sent to a server. The data is then processed in Spark to make piloting predictions. A client-side request retrieves the latest prediction to guide the drone’s next action in

real-time.

HEALTHCARE RECORDS MANAGEMENT SYSTEM HRMS

• Developed a relational database for Admin, Patient Appointments, Doctors, Billing, and Helpline modules using React, JS, PostgreSQL,

• MongoDB, HTML, CSS. Designed an intuitive web interface for patient sign-in, appointment scheduling, billing, and administrative operations, enhancing user engagement and system usability.

VEHICLE PARKING OCCUPANCY USING IOT

• Contributed to an IoT-based parking solution, specializing in authorization module development, incorporating RFID and ALPR technologies for secure access.

• Integrated MQTT for real-time reservations and streamlined payment processing based on entry and exit times, revolutionizing urban parking management. And published a paper on this project.

PART OF SPEECH TAGGING FOR HIND

• Developed a Hidden Markov Model for Hindi POS tagging, improving handling of unknown words and smoothing techniques, advancing Hindi NLP technologies.