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Software Engineer with less than a year in AI/ML, Deep Learning, and Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science fresher with strong knowledge in programming, software development, and problem-solving. Eager to begin my career, contribute to the organization's success, and enhance my skills by learning new technologies.
Sri Vasavi Engineering College
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2025
ISTS Women's Engineering College
Diploma · Computer Mechanical Engineering
August 1, 2018 – June 30, 2021
Z P High School
Secondary School Certificate
June 1, 2017 – May 31, 2018
Handwritten Signature Forgery Detection
January 1, 2026 – Present
Developed a system to detect forged handwritten signatures using deep learning with the VGG16 CNN model, classifying them as real or fake. Improved accuracy by applying image preprocessing (binarization, edge detection), along with regularization and data augmentation. Achieved 99% accuracy on a Kaggle dataset.
AI-Powered UPI Fraud Detection
January 1, 2026 – Present
Created a smart system to detect fraudulent UPI transactions using AI, ML, and NLP by analyzing user spending behavior. Trained models on transaction data (Google Pay, PhonePe, Paytm) using SVM and Random Forest for fraud detection. Added a phishing URL checker and built a Flask-based web app.
Oracle Cloud Infrastructure 2023 Certified Foundations Associate
Oracle
June 1, 2026 – Present
Azure AZ-900
Microsoft
June 1, 2026 – Present
Mastering Generative AI and ChatGPT
GeeksforGeeks
June 1, 2026 – Present
AWS Cloud Fundamentals and Cloud Architecting
AWS
March 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical applications of AI/ML, which aligns with an innovative and problem-solving culture. The pursuit of multiple cloud certifications shows initiative and a desire for continuous learning, which is a strong cultural fit for growth-oriented organizations. The projects are diverse in their application (signature detection, fraud detection), indicating a broad interest in different problem domains. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and self-reported soft skills.
Soft Skills & Operational Fit
The candidate highlights being a quick learner, adaptable, and possessing strong communication and teamwork skills. These are positive indicators for operational fit, especially in a collaborative engineering environment. However, without direct work experience, these are self-assessed and would require validation during an interview.