Syed M.

About Syed M.

Dedicated to pioneering cutting-edge technologies and creating entirely new market domains that leverage these innovations.Cloud, data and AI security, automation & orchestration, full-stack development, security architectures (L3-L7), network and app layer DDoS mitigation, risk-mitigation, malware/ransomware, social engineering, data science, compliance, business model development and strong pre-sales.Hands-on: Python/HTML/CSS/JavaScript/jQuery/NodeJS/Linux/PostgreSQL/MongoDB/Kali etc.

Experience

1. Principal Architect - Ai, Data and Cloud Security

   Palo Alto Networks

   Mar 2022 — Present

   Securing- AI applications leveraging managed LLM platforms (e.g, AWS Bedrock, GCP Vertex AI, Azure OpenAI) by securing prompt inputs, model outputs, and integration layers against injection, abuse, and data leakage- Foundation models via model scanning and vulnerability assessment by detecting issues like insecure parameters, exposure to adversarial prompts, and malicious fine-tuning- Agentic AI workflows by embedding procedures in the toolchain integrations, enforcing execution policies, and monitoring for remote code execution attempts- CI/CD pipelines using Jenkins, CircleCI, Gitlab etc- Kubernetes workloads against drift, crypto-mining, malware etc- Containers during build time by using TwistLock CLI- API traffic using WAAS in-band or out-of-band- By embedding an IaC solution inside developer IDE e.g. VS CodeCNAPP i.e. CWPP, CSPM, CIEM, IaC/CCS across- Lambda, API Gateway, AppSync, S3, SNS, SQS, DynamoDB, Kinesis, KMS, EC2, EBS, ECS, VPC, SSM, EKS- Azure VMs, Azure DevOps, Azure Cosmos DB, Azure AD, API Management, Azure Backup, Azure Content Delivery Network, Logic Apps, App Service Engine, AKS- App Engine, Compute Engine, Cloud Run, Cloud Storage, Persistant Disk, Cloud Filestore, Bigtable, Datastore, Cloud SQL, GKE

Education

• Wichita State University

  MS, EE

  2007 — 2008