DevSecOps & Cloud Engineer Professional
M.S. in Cybersecurity | CySA+ | Security+

LinkedIn • Credly Badges

A snapshot of the tools and technologies I use to build, secure, and scale applications.

Architected a containerized market analysis tool to track financial volatility and automate pricing updates.

• Tech Stack: Python, PostgreSQL, Docker, GitHub Actions, Third-Party APIs
• Key Deliverables:
  • Designed a centralized PostgreSQL database to ingest real-time market data and track 24-hour asset volatility.
  • Developed a rate-optimized data scraping script utilizing Python to guide dynamic pricing strategies.
  • Containerized the application layers using Docker and built an automated CI/CD pipeline via GitHub Actions.

Building a modular, open-source service management engine optimized for high scalability.

• Tech Stack: Go, Python, Docker, Terraform
• Key Deliverables:
  • Writing the core service lifecycle engine in Go and Python to ensure low-latency backend performance.
  • Defining the entire infrastructure as code using Terraform to provide a provider-agnostic deployment environment.

Built an intelligent LLM processing agent backed by a fully automated MLOps infrastructure.

• Tech Stack: Python, Gemini API, AWS, Docker, Terraform
• Key Deliverables:
  • Integrated large language model APIs into a Python core framework to handle contextual data orchestration.
  • Automated cloud environment provisioning on AWS using Terraform to host the containerized agent securely.

Engineered a continuous delivery pipeline for a scalable web application hosted on containerized infrastructure.

• Tech Stack: Amazon EKS (Kubernetes), Docker, AWS CodePipeline, CodeBuild, Django
• Key Deliverables:
  • Orchestrated a high-availability container deployment strategy on Amazon EKS fronted by an Application Load Balancer.
  • Constructed an automated continuous delivery pipeline utilizing AWS CodePipeline and CodeBuild.

Designed a serverless backend infrastructure to automate document verification and identities.

• Tech Stack: AWS Lambda, API Gateway, S3, SQS, Textract, Rekognition, IAM
• Key Deliverables:
  • Enforced a Zero Trust framework by implementing strict AWS IAM least-privilege security policies.
  • Built an asynchronous processing workflow using Amazon SQS to handle automated data extraction and facial validation.

• Tech Stack: LimaCharlie (EDR), Tines (SOAR), Microsoft Defender for Endpoint
• Impact: Built automated workflows to drastically reduce incident response times by instantly triaging and mitigating endpoint detections.

• Tech Stack: Wazuh (XDR), Shuffle (SOAR), TheHive (Case Management)
• Impact: Established a centralized security hub implementing log ingestion, automated playbook execution, and streamlined incident case tracking.

• Tech Stack: Windows Server, Splunk, Kali Linux, Atomic Red Team
• Impact: Configured a secure corporate sandbox environment to simulate, detect, and analyze MITRE ATT&CK-mapped infrastructure exploits.