Looking for a job

akshara reddy

@aksharareddy

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IoT-focused engineering graduate skilled in ML, embedded systems, and software testing.

India

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What I'm looking for

I seek an entry-level role where I can apply IoT, ML, and QA skills to build scalable, reliable systems and grow in hands-on engineering.

I am an innovative, detail-oriented Computer Science (IoT) engineering graduate with hands-on experience in IoT systems, machine learning, and software testing. I combine embedded-systems development with data-driven predictive modelling to build reliable, scalable solutions.

During my degree and projects I developed real-time IoT systems using ESP32 and multiple sensors, integrating solar power and remote monitoring for sustainable deployments. I built ML solutions—XGBoost and MLP models—to forecast alarms, detect anomalies, and predict heart disease with a user-facing Streamlit interface.

I have practical QA experience performing manual testing in Agile (Scrum), managing defects in Shortcut, and maintaining test cases in TestRail. I am training in Java, automation, and SQL while strengthening problem-solving through coding challenges and simulations.

I am committed to applying technical expertise to deliver efficient, impactful solutions across smart infrastructure and data-driven applications, emphasizing reliability, maintainability, and real-world utility.

Experience

Work history, roles, and key accomplishments

Current

QA Intern

Current

Prasthana Software Solutions

Oct 2025 - Present (3 months)

Performed manual testing of web applications in an Agile (Scrum) environment, identifying, logging, tracking and retesting functional and UI defects to improve product quality. Managed defect tickets in Shortcut and maintained test cases and reports in TestRail.

Manual Testing Shortcut TestRail Agile Scrum SQL Bug Life Cycle

Education

Degrees, certifications, and relevant coursework

Malla Reddy Engineering College & Management Sciences

Bachelor of Technology, Computer Science Engineering (IoT)

2021 -

Grade: 8.3 CGPA

Pursuing a B.Tech in Computer Science Engineering (IoT) with focus on IoT, embedded systems, and machine learning; achieved 8.3 CGPA and academic excellence recognition.