Swapnil Agrawal

I am Swapnil Agrawal, a Cybersecurity & AI fresher from Hyderabad, graduating in 2026 with a B.Tech specialization in Cybersecurity from IARE. I am passionate about building intelligent security systems that sit at the intersection of AI and cybersecurity — which is exactly what I did during my 4-month internship at Saxon AI, where I architected LLM-assisted threat detection systems and deployed AutoGen-based multi-agent workflows for real-time cloud security analysis.

I am hands-on with Splunk, AWS (CloudTrail, CloudWatch, IAM), Python, Kali Linux, Wireshark, and Metasploit. I hold an AWS Cloud Practitioner certification and have built 6 independent projects spanning AI-powered anomaly detection, SIEM deployment, cloud security monitoring, and automated rollback mechanisms.

What drives me is simple — I believe the future of cybersecurity is AI-powered, and I want to be part of building that future. I bring a rare combination of core security foundations and practical AI/LLM skills that most freshers don't have.

Currently open to full-time opportunities in Cybersecurity, SOC Analysis, AI Security, Cloud Security, or any related IT role. Based in Hyderabad — available to join immediately.

AI Intern at Saxon AI (2025-02 – 2025-05)

Built an LLM-assisted cyber threat analysis system to autonomously identify cloud and network misconfigurations, reducing manual security review time in a simulated enterprise environment.

• Built an LLM-assisted cyber threat analysis system to autonomously identify cloud and network misconfigurations, reducing manual security review time in a simulated enterprise environment
• Engineered a fail-safe validation & automated rollback mechanism to restore last-known-good secure configurations, minimizing risk exposure during cloud security testing
• Implemented AutoGen-based multi-agent workflows to automate anomaly reasoning and accelerate security decision-making, eliminating manual triage bottlenecks
• Integrated real-time alerting pipelines to continuously monitor system state and flag potential threat conditions for faster incident response

Virtual Job Simulation at Mastercard (2024-03 – 2024-03)

Job simulation by Forage - Designed phishing email campaign and analyzed results for security awareness improvements.

• Designed A Phishing E-mail: Simulated phishing email campaign targeting employees in a controlled environment to assess security awareness and test social engineering vulnerabilities
• Interpreting Phishing Results: Analyzed phishing simulation results to identify departments with higher susceptibility and recommended targeted security awareness training improvements

B.Tech in Computer Science and Engineering with Specialization in Cybersecurity – Institute of Aeronautical Engineering (2026)