Avinash Mangalagiri
Security Analyst
Chester,MD
Summary
Accomplished Security Engineer at Tekebin with expertise in vulnerability management and incident response. Successfully resolved over 15 critical issues through advanced tools like Burp Suite and ZAP. Proficient in AWS security and automation, demonstrating strong analytical skills and a commitment to enhancing organizational security posture.
Overview
3
3
years of professional experience
1
1
AWS Solutions Architect
Work History
Security Engineer
Tekebin
Plano, TX
01.2023 - 08.2025
• Conducted vulnerability assessments using Burp Suite and ZAP; resolved 15+ critical issues.
• Automated security responses using Phantom SOAR; integrated IOC enrichment.
• Secured AWS environments (IAM, EC2, S3, EKS); used Terraform for IaC.
• Monitored and analyzed security logs via Splunk and Zscaler; built custom dashboards.
• Implemented CI/CD pipelines with Jenkins and integrated SAST/DAST testing.
• Led HIPAA compliance audits and performed forensic analysis on compromised systems..
Technical Assistant
Sacred Heart University
CT
09.2022 - 12.2022
- • Assisted with threat analysis and cryptographic research.
• Configured MFA, VPNs, and implemented secure AWS architecture.
• Integrated CrowdStrike and Defender with SIEM for enhanced monitoring.
• Performed Nmap scans, Zscaler URL filtering, and created forensic reports.
Education
M.S. - Cyber Forensics and Counterterrorism
Sacred Heart University
CT12.2022
B.Tech - Electronics & Communications
SRM University
India12.2020
Skills
- Python
- PowerShell
- AWS
- Splunk
- Zscaler
- Phantom SOAR
- Burp Suite
- Nessus
- Qualys
- Wireshark
- NIST
- HIPAA
- GDPR
- PCI-DSS
- Vulnerability management
- Threat Hunting
- Incident response
- IAM
- TCP/IP
- DNS
- DHCP
- IDS/IPS
- SIEM tuning
- SOC monitoring
Certification
- Certified Ethical Hacker (CEH)
- AWS Certified Solutions Architect – Associate
- AWS Cloud Practitioner
- NSA CAE in Cyber Defense
Selected Projects
- AI-Based Malware Classification – Built a deep learning model using opcode sequences to classify malware with 90% accuracy.
- IDS with Raspberry Pi – Developed an intrusion detection system using image recognition and ML algorithms.
- IoT Bluetooth Exploitation – Analyzed and exploited IoT vulnerabilities using ESP32 and Metasploit.
Timeline
Security Engineer
Tekebin
01.2023 - 08.2025
Technical Assistant
Sacred Heart University
09.2022 - 12.2022
M.S. - Cyber Forensics and Counterterrorism
Sacred Heart University
B.Tech - Electronics & Communications
SRM University
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