Rajas Ronghe profile photo 1 on Tal

Rajas Ronghe

Cybersecurity Professional | Cloud Security · SOC Operations · Vulnerability Management and Pentesting | CompTIA Security+ | Open to Security Analyst Opportunities

Pune District

3+ years of work experience

Saayam For All
Feb 20251 yr 1 moFeb 2026

San Jose, California, United States

Built AWS IAM user provisioning system using Pulumi, processing account creation for 50+ users and reducing configuration errors by 85% Created IAM policy templates with validation frameworks, enforcing security controls across development, staging, and production environments Automated credential lifecycle management including password generation, policy validation, compliance checks, decreasing overhead by 70% Deployed credential management system with password protection and access key rotation capabilities for SOC 2 compliance
Drexel University
Sep 20244 mosDec 2024

Philadelphia, Pennsylvania, United States

Engineered training set corruption attacks on CNN architectures using sinusoidal signal injection, achieving 92% backdoor activation rate on MNIST and GTSRB datasets while maintaining classification accuracy above 95% Designed framework testing model robustness across 9 attack scenarios with corruption rates from 10% to 40%, documenting 18% accuracy degradation patterns to identify defense thresholds Automated experiment workflows through Python scripting and YAML configuration, executing test runs across datasets to accelerate vulnerability discovery and pattern analysis
SK Enterprises
Jan 20221 yr 1 moJan 2023

Bhopal, Madhya Pradesh, India

Managed incident triage workflows across 115 endpoints using Wireshark packet analysis and MITRE ATT&CK correlation, reducing mean time to detect by 28% through traffic pattern recognition Performed vulnerability assessments using Metasploit framework, identifying and remediating OWASP Top 10 vulnerabilities across client web applications while conducting post-exploitation analysis Delivered phishing awareness training combining behavioral analysis and D3FEND framework countermeasures, decreasing susceptibility to social engineering by 32% through simulated campaigns Configured security monitoring infrastructure integrating firewall management and alert correlation, enhancing incident response and threat visibility across network environments
Digital Pass
Jan 20211 yrDec 2021

India

Identified and secured 15 exposed assets through Shodan reconnaissance and NIST risk management protocols, reducing attack surface by 32% Executed vulnerability scans using Nessus across 200+ endpoints, prioritizing findings and coordinating remediation with cross-functional teams Mapped network topology through Nmap across 60 hosts, discovering 12 unauthorized services and applying access controls Communicated risk assessment findings to stakeholders through reports, translating vulnerabilities into mitigation recommendations

Rajas’s AI Stack

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Education

Drexel University School of Engineering

Master of Science - MS, Cybersecurity

Drexel University School of Engineering

20231 yr2024
Savitribai Phule Pune University

Bachelor of Engineering - BE, Information Technology

Savitribai Phule Pune University

20184 yrs2022

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Headline

Cybersecurity Professional | Cloud Security · SOC Operations · Vulnerability Management and Pentesting | CompTIA Security+ | Open to Security Analyst Opportunities

About

Bridging AI, Security, and Threat Intelligence | MS Cybersecurity – Drexel University | CompTIA Security+ Cybersecurity isn’t just a field—it’s a mindset. What started as a curiosity about how systems could be exploited has evolved into a mission to defend them. With a Master’s in Cybersecurity from Drexel University and hands-on experience in AI-driven threat detection, network security, and digital forensics, I specialize in identifying and mitigating vulnerabilities before they become exploits. What I Bring to the Table: ✔ Threat Detection & Incident Response – Reduced phishing success by 36% through security awareness training and incident simulations. ✔ AI & Cybersecurity Research – Researched CNN-based backdoor attacks on deep learning systems and validated AI-driven evasion tactics. ✔ Vulnerability Management – Identified and remediated high-risk SQLi/XSS vulnerabilities while securing 200+ endpoints in enterprise environments. ✔ Security Tools & Frameworks – Hands-on experience with Splunk, Metasploit, Burp Suite, Nessus, and AWS Security while implementing security controls based on MITRE ATT&CK, NIST, and GDPR. I’m passionate about bridging AI and cybersecurity to enhance threat intelligence and risk management. Currently, I’m pursuing AWS Security certification to further deepen my expertise in cloud security. I’m actively seeking entry-level roles in SOC Analysis, Threat Intelligence, Security Engineering, or Cloud Security. Let’s connect if you’re passionate about cybersecurity innovation, AI-driven defense strategies, or if you’re looking for someone who thinks like an attacker—but works for the defenders.

Location

Pune District

AI stack

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Work experience

DevSecOps Engineer at Saayam For All, Feb 2025 - Feb 2026 · 1 yr 1 mo, San Jose, California, United States, Built AWS IAM user provisioning system using Pulumi, processing account creation for 50+ users and reducing configuration errors by 85% Created IAM policy templates with validation frameworks, enforcing security controls across development, staging, and production environments Automated credential lifecycle management including password generation, policy validation, compliance checks, decreasing overhead by 70% Deployed credential management system with password protection and access key rotation capabilities for SOC 2 compliance

AI Cybersecurity Co-op at Drexel University, Sep 2024 - Dec 2024 · 4 mos, Philadelphia, Pennsylvania, United States, Engineered training set corruption attacks on CNN architectures using sinusoidal signal injection, achieving 92% backdoor activation rate on MNIST and GTSRB datasets while maintaining classification accuracy above 95% Designed framework testing model robustness across 9 attack scenarios with corruption rates from 10% to 40%, documenting 18% accuracy degradation patterns to identify defense thresholds Automated experiment workflows through Python scripting and YAML configuration, executing test runs across datasets to accelerate vulnerability discovery and pattern analysis

Security Engineer at SK Enterprises, Jan 2022 - Jan 2023 · 1 yr 1 mo, Bhopal, Madhya Pradesh, India, Managed incident triage workflows across 115 endpoints using Wireshark packet analysis and MITRE ATT&CK correlation, reducing mean time to detect by 28% through traffic pattern recognition Performed vulnerability assessments using Metasploit framework, identifying and remediating OWASP Top 10 vulnerabilities across client web applications while conducting post-exploitation analysis Delivered phishing awareness training combining behavioral analysis and D3FEND framework countermeasures, decreasing susceptibility to social engineering by 32% through simulated campaigns Configured security monitoring infrastructure integrating firewall management and alert correlation, enhancing incident response and threat visibility across network environments

Cyber Security Analyst at Digital Pass, Jan 2021 - Dec 2021 · 1 yr, India, Identified and secured 15 exposed assets through Shodan reconnaissance and NIST risk management protocols, reducing attack surface by 32% Executed vulnerability scans using Nessus across 200+ endpoints, prioritizing findings and coordinating remediation with cross-functional teams Mapped network topology through Nmap across 60 hosts, discovering 12 unauthorized services and applying access controls Communicated risk assessment findings to stakeholders through reports, translating vulnerabilities into mitigation recommendations

Education

Master of Science - MS, Cybersecurity, Drexel University School of Engineering

Bachelor of Engineering - BE, Information Technology, Savitribai Phule Pune University