Technical Capabilities
I deliver platforms that are instrumented, compliant, and cost aware. Below is the way I frame my capabilities for stakeholders who need clarity rather than buzzwords.
Cloud and Infrastructure
- AWS, Azure, GCP across compute, storage, networking, IAM, and managed services
- Infrastructure as Code with Terraform and CloudFormation, plus reusable module libraries
- Containerization with Docker and orchestration with Kubernetes and Helm
- Serverless patterns where appropriate (Lambda, Azure Functions, Cloud Run) to reduce overhead and latency
- Cost governance: tagging standards, cost dashboards, alert thresholds, and monthly review cadences
CI/CD and Automation
- Multi-stage pipelines with GitHub Actions, GitLab CI, and Jenkins
- Trunk-based development and GitOps patterns to keep builds reproducible and auditable
- Automated security scans, unit tests, contract tests, and deployment gates
- Artifact versioning, promotion workflows, and rollback paths documented and tested
Observability and Reliability
- Metrics, logs, and traces wired into CloudWatch, Grafana, Prometheus, and ELK stacks
- Incident playbooks, on-call rotations, and MTTR reduction plans
- SLO/SLA definition with leadership and enforcement through alerting and reporting
- Capacity planning and performance tuning to avoid firefighting and cost spikes
Security and Compliance Alignment
- Principle of least privilege in IAM, secrets management with Vault or AWS SSM
- Threat modeling basics and static analysis tools integrated into pipelines
- Familiarity with NIST RMF, CMMC readiness levels, ISO 9001 style process controls
- Documentation that supports audits: architecture diagrams, data flow maps, runbooks, and change logs
Data and Machine Learning Pipelines
- Python, Pandas, scikit-learn for data processing and model development
- Ingestion and transformation pipelines using event-driven architectures and messaging queues
- Whisper and other NLP tools for transcription and text processing, with structured output suitable for downstream apps
- A/B testing frameworks and experiment design to validate that ML features improve measurable outcomes
Web and API Engineering
- React and Angular for front-end delivery with a focus on performance and accessibility
- Flask, Django, FastAPI for backend services and RESTful APIs
- Microservice and edge function architectures when justified by latency or scaling needs
- Documentation-first API design and clear versioning policies
Delivery and Team Practices
- Agile, Scrum, and Kanban experience in both product and service environments
- Hiring loops, mentoring plans, performance feedback, and career ladder development for junior and mid-level engineers
- Structured communication: executive summaries for leadership, technical specs for engineering, and clear status reports for contract managers
- Risk registers, dependency maps, and milestone tracking to keep projects within scope and budget
If your organization needs these capabilities translated into stable operations and auditable outcomes, I can take ownership of that layer and deliver without unnecessary noise.
Let me know if you want this section shorter for a site page or expanded into a detailed capability statement. Next section I can expand: Projects, Services, or Holographic Moral. Your call.