Chris is available for hire
Hire ChrisChris O. Agudosi
Verified Expert in Engineering
AI Security Engineer and Developer
Los Angeles, United States
Toptal member since August 31, 2026
Bio
Chris is an AI security engineer with over seven years of experience in application security and applied AI security for clients such as Manappuram Comptech, National Identity Management Commission, and NovusAegis AI. His primary expertise is in AWS, Azure, and Kubernetes for government and enterprise sectors, where he thrives in remote and distributed environments. While at the National Identity Management Commission, Chris reduced analyst response time from 45 minutes to under 10 minutes.
Portfolio
Manappuram Comptech & Consultants
OWASP Top 10
Flutterwave
GitHub Actions
NovusAegis AI | ReconPro | God's Eye
Infrastructure Security
Experience
- Ubuntu - 8 years
- OWASP Top 10 - 8 years
- GitHub Actions - 8 years
- LLM Integration - 8 years
- AIOps - 8 years
- Infrastructure Security - 8 years
- Engineering - 8 years
- Amazon Web Services (AWS) - 8 years
Preferred Environment
GitHub Actions
The most amazing...
...platform I've built is an AI-assisted VAPT system that automated vulnerability classification and cut repetitive assessment work across multi-stage reviews.
Work Experience
Cybersecurity Analyst
2024 - PRESENT
Manappuram Comptech & Consultants
- Conducted penetration testing across web, Android, API, and thick-client applications using OWASP Top 10, PTES, and CVSS methodologies, delivering remediation guidance for authentication, session, and input-validation vulnerabilities.
- Architected an AI-assisted VAPT platform integrating network vulnerability scanning, web security testing, Android analysis, and automated vulnerability classification, reducing repetitive assessment and reporting across multi-stage security reviews.
- Performed internal and external network VAPT operations involving host discovery, service enumeration, controlled exploitation, and attack-surface analysis using Nmap, Metasploit, Python, and Bash across enterprise infrastructure systems.
- Executed Android penetration testing involving APK decompilation, SSL pinning bypass, runtime method hooking, and dynamic analysis using MobSF, Frida, JADX, and ADB across multiple mobile application assessments.
- Spearheaded enterprise-wide phishing simulation campaigns to support security awareness initiatives, generating post-assessment reporting covering click-through metrics, remediation priorities, and user-risk evaluation findings.
- Validated DAST and SAST findings, performed false-positive triage, and conducted secure code review procedures aligned with secure SDLC and application security assessment standards.
Technologies: OWASP Top 10
AI Security and DevSecOps Engineer
2023 - PRESENT
Flutterwave
- Designed AI-assisted secure SDLC orchestration frameworks using OpenAI APIs, GitHub Actions, and Azure DevOps across 12+ repositories, reducing manual QA preparation time by 15 – 18 hours per sprint.
- Implemented Prometheus, Grafana, ELK, and New Relic dashboards for Kubernetes environments supporting 40+ microservices and 300+ daily container events, cutting average incident recovery time from 2+ hours to nearly 75 minutes.
- Constructed an LLM-powered knowledge retrieval platform using OpenAI embeddings and Pinecone, centralizing 2,500+ engineering documents while supporting AI governance, prompt validation, and secure knowledge access controls.
- Orchestrated Jenkins, Selenium, and Pytest validation pipelines across AWS-hosted staging clusters, increasing regression coverage from 45% to 92% while reducing manual release testing by roughly 20 hours per cycle.
- Provisioned Terraform-based AWS and Azure infrastructure supporting multi-region deployments, reducing environment setup time from nearly four hours to under 45 minutes.
- Strengthened production alert triage across distributed systems, processing 500,000+ daily application events, reducing recurring alert escalations by nearly 25% during high-volume deployment periods.
Technologies: GitHub Actions
Founder, AI Security, Reconnaissance, and Automation Projects
2017 - PRESENT
NovusAegis AI | ReconPro | God's Eye
- Maintained 10+ GitHub repositories focused on OSINT investigation, DFIR tooling, malware analysis, VAPT research, and AI security experimentation initiatives.
- Supported AI systems and autonomous-agent automation initiatives for government-sector environments, contributing to secure workflow orchestration, cloud partitioning, and operational security enhancement efforts.
- Built a custom Tactical Assault Kit (TAK) server enabling secure situational awareness, real-time mapping, and unit-tracking capabilities across tactical communication environments.
- Developed custom IDA Pro plugins and static analysis utilities that accelerated malware triage and executable inspection procedures across security research labs.
Technologies: Infrastructure Security
Network Security and AI Security Engineer
2021 - 2023
National Identity Management Commission
- Built LLM-assisted triage systems and Microsoft Sentinel SOAR automations supporting security operations across identity infrastructure, managing 100+ million citizen ID records, reducing analyst response time from 45 minutes to under 10 minutes.
- Deployed Logic Apps playbooks for phishing analysis, endpoint investigations, and suspicious login threat response operations, reducing repetitive SOC workload by nearly 60 hours monthly across distributed government network systems.
- Conducted threat detection, network investigation, and application-layer analysis across cloud and hybrid identity-management systems using Microsoft Sentinel, Splunk, Wireshark, and MITRE ATT&CK, supporting 1,200+ monthly alerts.
- Engineered Python and n8n automation workflows for log parsing, IOC extraction, SOC triage, and Git-based remediation pipelines, reducing investigation time from nearly 20 minutes to under 13 minutes across national-scale infrastructure systems.
Technologies: Ubuntu
Experience
Security Systems
As an AI security engineer, I built offensive and defensive systems at the intersection of machine learning and adversarial reality, from LLM red teaming and prompt-injection defense to full-scope penetration testing and DevSecOps automation.
Education
2016 - 2016
Bachelor's Degree in Engineering
Plymouth University - Plymouth, UK
Certifications
JANUARY 2025 - JANUARY 2028
AWS Certified Cloud Practitioner
Amazon Web Services
JUNE 2024 - JANUARY 2028
AWS Certified Solutions Architect – Associate
AWS
JUNE 2024 - FEBRUARY 2026
Certified Information Systems Auditor (CISA)
ISACA
Skills
Platforms
Ubuntu, Amazon Web Services (AWS)
Languages
Python
Other
AIOps, LLM Integration, Infrastructure Security, Security Engineering, OWASP Top 10, GitHub Actions, Engineering
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