As an MCA student with a BCA in Cyber Security, I blend hands-on experience in cybersecurity, web development, and ML. I've led VAPT projects, built tools like network scanners and DDoS shields, and reported bugs to platforms like Microsoft. Proficient in Python, Django, JS, and Scikit-learn, I specialize in offensive security and secure software development. With 45+ top-tier certifications, I build next-gen cyber defenses and deliver clean, fast, and effective security solutions.
As an MCA Cyber Security student with a solid academic backbone, I bring real-world leadership experience as a University President and a proven track record across multiple cybersecurity teams and startups. I've led diverse security initiatives, architected high-impact solutions, and driven teams through complex VAPT and threat analysis projects.
With hands-on expertise in Python, C++, network scanning, and system hardening, I focus on fortifying digital infrastructure and proactively neutralizing vulnerabilities. My approach blends technical depth with strategic oversight — ensuring every solution is both resilient and forward-looking.
From university councils to real-world cyber ops, I'm shaping secure systems and future-ready teams — not just adapting to the cyber landscape, but redefining it.
Academic background in Computer Applications with specialization in Cyber Security , Artificial intelligence , Web development
Computer Applications and Software Development
August 2024 - August 2026
Computer Science Engineering and Software Development
June 2021 - July 2024
Specialization in Information Technology
February 2020 - April 2021
Professional journey in cybersecurity and technical leadership
{Internship} Cybersecurity Intern working with real-world digital investigations, penetration testing, and digital forensics in collaboration with law enforcement.
June 2025 – Present
{Industry Experience} Serving as Lead Technical Specialist and previously as Security Development Lead. Spearheaded secure deployments, team coordination, and advanced cybersecurity strategies across multiple projects.
August 2024 – Present
{Internship} Cybersecurity Intern contributing to vulnerability assessments and system hardening projects, collaborating on securing critical infrastructure.
October 2024 – November 2024
{Internship} Completed hands-on penetration testing training and project-based tasks ranging from basic to advanced cyber threat simulations with real-world impact.
July 2024 – September 2024
{Industry Experience} Worked as Web Pentester Lead and Cybersecurity Analyst. Handled penetration testing, malware analysis, team training, and creation of secure Python-based tools.
January 2024 – August 2024
{Internship} Interned as a Cybersecurity Analyst focused on penetration testing, threat analysis, and building Python scripts for automated scanning and monitoring.
June 2024 – July 2024
{Internship} Cybersecurity Analyst Intern working on website vulnerability testing and Python-based project development under expert guidance.
July 2023 – September 2023
{Internship} Worked as Cybersecurity Engineer (Team Lead), gained experience in web testing, team management, and user authentication system development using Python.
May 2023 – July 2023
Specializing in:
🔹 AI/ML Security – Secure model deployment, adversarial robustness,
and anomaly detection.
🔹 Cybersecurity – Penetration testing, vulnerability assessments, and
threat intelligence.
🔹 Web Development – Secure full-stack applications with Django,
React, and hardened APIs
Technical skills and professional competencies
Practical implementations of cybersecurity concepts and AI-ML and Web solutions
I developed a full-stack User Authentication system that integrates three layers of verification: OTP (via Twilio), Email verification, and Facial Recognition using DeepFace and OpenCV. This Python-powered solution enhances access control for enterprise authentication servers.
Use Case: Detect potential Distributed Denial of Service (DDoS) attacks by analyzing network traffic data with a machine learning model. Scenario: A surge in traffic from various IP addresses is detected. The system uses the Random Forest Classifier to predict whether the traffic is malicious or benign.
I developed SkillSharp365 as a sleek, responsive web platform for a tech upskilling initiative. This project showcases clean UI/UX, mobile-first responsiveness, animated interactions, and cross-browser compatibility. Built using HTML5, CSS3, and vanilla JavaScript.
Below are the details to reach out to me!
Jaipur, Rajasthan, India