Open to opportunities

KURUBA SRAVANI

@kurubasravani

Message

I'm a final-year AI and machine learning student building deep-learning fraud detection systems.

India

Message

What I'm looking for

I'm seeking an opportunity to apply my software development and data-driven problem-solving skills in a dynamic, growth-oriented environment.

I've built a UPI fraud detection system using deep learning to identify malicious transactions, with my work published and presented at an academic forum.

I implemented data preprocessing, SMOTE balancing, and a TensorFlow neural network, evaluating results with accuracy, confusion matrices, and ROC curves. The project strengthened my ability to apply data-driven problem solving to security challenges.

I'm completing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at Kalasalingam Academy of Research and Education, maintaining an 8.7 CGPA.

Alongside machine learning, I work with Java and Python and have completed CodeChef courses in Java and Design and Analysis of Algorithms.

Experience

Work history, roles, and key accomplishments

Current

B.Tech Student in AI and ML

Current

Kalasalingam Academy of Research and Education

Jan 2022 - Present (4 years 8 months)

Final-year B.Tech student specializing in Artificial Intelligence and Machine Learning, with a published research paper on UPI fraud detection using deep learning.

Python TensorFlow Pandas Matplotlib Java Machine Learning Deep Learning

Education

Degrees, certifications, and relevant coursework

Kalasalingam Academy of Research and Education

Bachelor of Technology, Computer Science and Engineering (Artificial Intelligence and Machine Learning)

2022 -

Grade: 8.7 CGPA

Activities and societies: Published and presented a paper titled 'Enhancing UPI Security through Deep Learning-Based Fraud Detection' (2025).

Pursuing a B.Tech in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning. Achieved a CGPA of 8.7 and published a research paper on deep learning-based UPI fraud detection.