Professional Summary
A proactive and results-oriented professional specializing in the intersection of Cybersecurity and Artificial Intelligence. Currently pursuing a B.Tech in AI & Machine Learning with demonstrated experience in building full-stack security applications from the ground up. Proven ability to architect and develop high-performance, automated systems for vulnerability assessment and threat intelligence. Eager to apply a unique blend of security principles and machine learning expertise to solve complex challenges and enhance an organization's defensive posture.
Technical Skills Dashboard
Explore my skills with pastel progress bars. Use the filters to view categories like Security, Languages, Frameworks, and Infra.
Technical Proficiencies
Security Tools
Nmap, Burp Suite Pro, Wireshark, SQLmap, Tenable Nessus, Nuclei, Metasploit
Languages
Python, JavaScript, TypeScript, SQL, Java
Frameworks & Libraries
Flask, Celery, Next.js, React, SQLAlchemy, Pandas, TensorFlow, OpenCV, NLTK
Infrastructure & Databases
Docker, Redis, PostgreSQL, SQLite, Git/GitHub
Full-Stack Security Developer (Independent Project)
Chhatrapati Sambhajinagar, India | August 2025 – Present
Project: RiskReveal - Full-Stack Vulnerability Scanner
RiskReveal is a comprehensive, web-based vulnerability scanning application designed to provide deep insights into the security posture of network assets. Below are the key achievements and architectural highlights of its development.
- Engineered an intelligent risk prioritization engine that correlates data from 3+ security feeds (200,000+ CVEs, 1,000+ CWEs) to reduce vulnerability noise by an estimated 90% compared to raw scanner output.
- Architected a high-performance backend using Celery and Redis, capable of processing up to 50 concurrent scans and reducing manual scan configuration time by over 70% through automation.
- Built a full-stack security dashboard with Next.js, creating over 15 reusable components that improved development speed by 25% and enabled the generation of detailed PDF reports in under 5 seconds.
Additional Projects
Beyond my core experience, I have developed several other projects that showcase my skills in AI/ML and software development. These projects demonstrate my ability to apply complex algorithms and data processing techniques to solve real-world problems.
Face Recognition System
- Developed a real-time facial detection and recognition system using Python and OpenCV, achieving a processing speed of 30 FPS for seamless live environment integration.
- Improved recognition accuracy by 20% across varied lighting conditions by leveraging OpenCV's pre-trained models.
Sentiment Analysis Model
- Built and trained a machine learning model to perform sentiment analysis on social media text data, achieving 85% accuracy in classifying user sentiment.
- Utilized Python's NLTK library for NLP tasks, enhancing model performance by 15%.
Education
Bachelor of Technology, Artificial Intelligence & Machine Learning
MGM University | Chh. Sambhajinagar, India
(Oct 2021 - June 2026)
Relevant Coursework:
- Data Structures & Algorithms
- Network Security
- Cryptography
- Database Management Systems
- Secure Software Development
Certifications & Achievements
Professional Certifications:
- Google Cybersecurity Professional
- Certified Cyber Security Professional
- Certified Ethical Hacker (CEH)
- Generative AI Fundamentals, Google
- Introduction to Large Language Models, Google
- Responsible AI: Applying AI Principles, Google
Leadership & Achievements:
- Event Coordinator, University Youth Festival (Dec 2024): Coordinated logistics and scheduling for events with over 500 participants.
- First Place, Taalvadya (Percussion) Competition, Youth Festival (Dec 2024).