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Cyber security- VAPT with less than a year in vulnerability assessment, AI/ML-based detection system
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and skilled individual with a strong foundation in Python, C++, and Java, coupled with expertise in Machine Learning, AI, and Cybersecurity. Proven ability to conduct vulnerability assessments, develop AI-driven solutions for real-world problems like driver drowsiness detection and malicious URL identification, and implement NLP techniques for efficient data processing. Eager to apply acquired knowledge and technical skills to contribute effectively in an engineering role focused on cybersecurity and AI.
JSS Science and Technology University, Mysuru
Bachelor of Engineering · Computer Science and Business Systems
August 1, 2023 – June 30, 2026
Government Polytechnic Chamarajanagar
Diploma · Computer Science and Engineering
August 1, 2020 – June 30, 2023
Ultismart Infotech
Cyber security- VAPT
January 1, 2023 – May 1, 2023
Mysore, Karnataka, India
DRIVER DROWSINESS DETECTION USING DEEP LEARNING
November 26, 2025 – February 28, 2026
Built a real-time AI-based driver drowsiness detection system using Deep Learning and Computer Vision. Implemented eye blink, yawn, and fatigue detection for continuous driver monitoring. Developed a low-latency alert system using Python, OpenCV, MediaPipe, and PyTorch. Integrated Grad-CAM visualization for model interpretability and performance analysis. Tools: Python, PyTorch, OpenCV, MediaPipe, Deep Learning, Grad-CAM.
AI POWERED RESUME SCANNER
September 30, 2025 – October 31, 2025
Developed an offline resume screening system using NLP techniques to rank resumes against job descriptions. Implemented TF-IDF vectorization and cosine similarity for relevance scoring. Built automated PDF/DOCX parsing and text preprocessing pipeline to improve recruitment efficiency. Tools: Python, NLP.
MALICIOUS URL DETECTION USING DL
May 31, 2025 – December 31, 2025
Built a malicious URL classification system using lightweight feature extraction and a feedforward neural network. Trained and evaluated the model to enable real-time detection of malicious and benign URLs. Integrated explainability techniques to provide transparent reasoning behind model predictions. Tools: Python, Neural Networks.
Basics of Python
Infosys Springboard
June 1, 2026 – Present
Introduction to Cyber Security
Infosys Springboard
June 1, 2026 – Present
Cyber Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML, while the internship and certifications show a clear pivot towards cybersecurity. This blend indicates adaptability and a proactive approach to skill development. The target role 'Cyber security- VAPT' aligns well with the internship experience and relevant certifications, suggesting a focused career interest. The diversity of projects (AI/ML, NLP, Cybersecurity) indicates a broad technical curiosity, which can be a positive cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate's involvement in an extracurricular activity (Vice Coordinator, Team PhotoOn) suggests organizational and teamwork skills. The project descriptions are clear and concise, indicating good communication. The internship experience demonstrates a practical, hands-on approach to learning and problem-solving in a professional setting.