Ansh Modi
Summary
Energetically led the development team at Pruthatek, enhancing web scalability and user experience with React.js and Next.js. At CFSS Cyber & Forensics, identified critical security vulnerabilities while ensuring code quality and secure development practices.
Overview
2
2
years of professional experience
Work History
Penetration Tester Intern
CFSS Cyber & Forensics Security Solutions
08.2024 - 09.2024
- Conducted source code reviews, identifying security vulnerabilities in web applications.
- Assisted in web security and API penetration testing using Burp Suite and OWASP ZAP.
- Identified security flaws in web applications through manual testing techniques like Cross-site Scripting, SQL Injection.
Assistant Software Engineer
Pruthatek
Ahmedabad
07.2022 - 09.2024
- Led the development team in a fast-paced startup, ensuring scalable and maintainable web applications.
- Collaborated with UI/UX designers to enhance software usability and improve the user experience.
- Mentored junior developers, overseeing project progress, and ensuring code quality through reviews.
- Developed dynamic user interfaces using React.js, JavaScript (ES6+), Redux, HTML, CSS, and Tailwind CSS.
- Optimized React.js applications improve performance by implementing efficient state management with Redux.
- Integrated RESTful APIs for seamless data exchange between the frontend and backend.
- Built CI/CD pipelines, streamlining development workflows, and enhancing deployment efficiency.
Education
MBA - Cybersecurity Management
National Forensic Sciences University
Gandhinagar01-2025
Bachelor of Engineering Technology - Computer Engineering
LDRP Institute of Technology & Research
Gandhinagar 04-2023
Skills
- Reactjs
- Nextjs
- React Native
- HTML, CSS, JavaScript, and Tailwind CSS
- Secure coding, Web Security
- CI/CD pipelines, Git/GitHub, Postman
Project
AI-Powered Vulnerability Scanner - https://github.com/anshmodi27/vuln_hub
Problem:
- Traditional vulnerability scanners lack the ability to provide automated remediation suggestions, leading to slower response times in fixing vulnerabilities.
Solution:
- Developed a cloud-based scanner using OWASP ZAP for automated detection and Google Gemini AI API for AI-driven remediation suggestions.
- Built a React.js dashboard for real-time vulnerability reports and integrated with a Flask backend for seamless scanning and remediation.
Timeline
Penetration Tester Intern
CFSS Cyber & Forensics Security Solutions
08.2024 - 09.2024
Assistant Software Engineer
Pruthatek
07.2022 - 09.2024
MBA - Cybersecurity Management
National Forensic Sciences University
Bachelor of Engineering Technology - Computer Engineering
LDRP Institute of Technology & Research
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