Who am I
Passionate Cyber Security Analyst and Software Developer with strong experience in vulnerability assessment, full-stack web development, and cloud security operations. Adept at identifying, analyzing, and mitigating risks while building robust, scalable applications using modern technologies.
I currently serve as a Cyber Security Analyst at Neospace AI Technologies, where I specialize in vulnerability management, incident response, and compliance implementations using tools like SecurityScorecard, CrowdStrike Falcon, Netskope, and JumpCloud. My efforts have helped reduce organizational exposure by 45% and improve incident response time by 22%. Previously, I worked as a MERN Full Stack Developer Intern at Ethnus and a Software Development Intern at Paul Technologies, where I honed my expertise in JavaScript, ReactJS, NodeJS, Python, and cloud deployment. I’m skilled in Java, C++, Bash, SQL, MongoDB, GCP, and OCI, and experienced with SIEM tools, penetration testing, and CIS benchmark implementations.
As a multilingual professional (English, Hindi, Kannada, Malayalam, Telugu, Konkani, German, Portuguese), I bring global communication skills to cross-functional and international projects. I’m also a proud recipient of the Colgate Keep India Smiling Scholarship and the Vahani Scholarship, both recognizing my academic excellence and leadership potential.
My career mission is to integrate cybersecurity best practices with modern software engineering — creating systems that are not only functional and user-centric but also secure by design.
Projects
Hours Of Support
Awards
This radar chart provides a comprehensive visualization of my core expertise across Cybersecurity, Software Engineering, and Cloud Infrastructure. It highlights strong capabilities in vulnerability management, incident response, and endpoint security using tools like CrowdStrike Falcon, Netskope, JumpCloud, Censys, and SecurityScorecard. I also bring extensive experience in full-stack development using Python, Java, C++, and JavaScript (React & NodeJS), combined with a deep understanding of GCP and OCI cloud environments for secure deployment and compliance automation. This visual representation reflects the synergy between my analytical, coding, and security skills — essential for building resilient, scalable, and secure systems in modern tech ecosystems.
A dynamic and detail-oriented Cyber Security Analyst with a strong background in
vulnerability management, incident response, and cloud security operations.
Currently working at Neospace AI Technologies LTDA, where I lead initiatives to strengthen
organizational security posture through tools such as
SecurityScorecard, CrowdStrike Falcon, Netskope, Censys, ImmuniWeb, and JumpCloud.
Skilled in applying CIS Benchmarks and ensuring compliance across hybrid infrastructures,
while collaborating cross-functionally to deliver measurable risk reduction and operational resilience.
A B.Tech Computer Science and Engineering graduate from
Vellore Institute of Technology, Amaravati, I combine a software engineering mindset with cybersecurity expertise to build secure, scalable systems.
Recipient of the Vahani Scholarship and Colgate Keep India Smiling Award,
I am recognized for academic excellence, leadership, and a commitment to continuous learning.
Passionate about integrating secure development practices into modern digital ecosystems to
drive innovation without compromising safety.
Vellore Institute of Technology, Amaravati
St. Thomas P.U College, Byndoor
Neospace AI Technologies LTDA, Uberlândia, Minas Gerais, Brazil
Ethnus, Bangalore, Karnataka, India
Vahani Scholarship Foundation, New Delhi, India
The Psychotherapy Central, Pune, Maharashtra, India
Paul Technologies, Udupi, Karnataka, India
Peakpals, New Delhi, India
My Services
Experienced web developer with strong skills in HTML, CSS, and JavaScript with various frameworks like ReactJS and NodeJS. Expertise in developing responsive websites that meet client needs and maximize user engagement.
As a mobile app developer with expertise in Flutter and Dart, Java, and XML, I specialize in creating responsive and user-friendly applications for both Android and iOS platforms. I possess strong problem-solving skills and a deep understanding of programming languages to deliver exceptional results.
Improves website search engine ranking through on-page optimization, keyword research, and backlinking strategies. Utilizes tools like Google Analytics to track and analyze website traffic.
As a skilled and passionate individual, I offer my expertise to join any team on-demand for hackathons. With extensive experience in coding and a strong commitment to collaboration, I am ready to contribute to the success of any project.
Experienced event host with a proven track record of successful events. Available to host a variety of events, from corporate conferences to community gatherings.
Looking for a reliable and fun travel partner? Look no further! As an experienced traveler, I am committed to making your trip unforgettable. From planning to execution, I will help you make the most of your adventure while ensuring your safety and comfort. Let's hit the road together!
My Projects

This project develops a real-time Video Chat Application utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js). It features secure user authentication, high-quality video and audio streaming through WebRTC, and a responsive user interface. The app supports one-on-one and group video calls, along with functionalities like screen sharing and chat messaging. Built for scalability and performance, it ensures a seamless and intuitive user experience for both personal and professional communication needs.

LifeGuard SOS is an advanced Emergency Health Monitoring System designed to provide real-time health tracking and immediate emergency response. The system integrates wearable health devices with a mobile application to continuously monitor vital signs such as heart rate, blood pressure, and oxygen levels. In case of abnormal readings or emergencies, it automatically alerts medical personnel and designated contacts, providing real-time location and health data for prompt intervention. LifeGuard SOS aims to enhance personal safety and ensure timely medical assistance in critical situations.

The Personal Money Manager is a comprehensive financial tracking and budgeting application designed to help users efficiently manage their finances. It provides tools for tracking income, expenses, and savings, creating and monitoring budgets, and generating financial reports. With features such as expense categorization, automatic transaction import, and financial goal setting, the app empowers users to gain insights into their spending habits and make informed financial decisions. The Personal Money Manager aims to simplify personal finance management and promote better financial health.

Image forgery detection is a critical area of research in digital image forensics. This project presents an enhanced Image Forgery Detection system that incorporates Copy-Move Forgery Detection to address the challenges posed by various image manipulation techniques. The proposed system combines metadata analysis, geometric transformation analysis, and block-based analysis to detect potential forgeries. The project aims to develop an Image Forgery Detection system that utilizes enhanced forgery detection techniques along with Copy-Move Forgery Detection.

As a key contributor to the development of the AI-Based Online Proctoring Exam Portal for Universities, I played a pivotal role in creating a cutting-edge solution that enhances the efficiency, security, and accessibility of online examinations. This project sought to address the evolving needs of educational institutions by harnessing the power of artificial intelligence (AI) to detect malpractice, thereby ensuring the integrity of assessments. Technologies such as ReactJS, NodeJS, MySQL, Tensor Flow and other APIs were used during the implementation. I was the project lead and directly reported to project in-charge.

The Smart Street Light System is an innovative solution that incorporates LDR and IR sensors, along with an Arduino microcontroller, to provide an adaptive and energyefficient street lighting system. The system uses LDR sensors to detect ambient light levels and automatically adjusts the brightness of the streetlights to conserve energy. Additionally, IR sensors are used to detect the presence of pedestrians and vehicles on the road, allowing the system to adjust lighting levels accordingly. The Smart Street Light System aims to reduce energy consumption, lower costs, and enhance safety in urban areas.
My Badges
Certifications
Contact Me
Av Belarmino Cotta Pacheco, 233
Santa Monica, Uberlândia
MG, Brazil - 38408-168
praise.paul@outlook.com
+55 (34) 99178 7000