KER102 / TECHNICAL PORTFOLIO

Credentials connected to real work.

I build secure AI systems, cloud infrastructure, agent tooling, and automation. This page connects formal training to the projects where those skills were applied.

01

PLAIN-TEXT RESUMES

Career documents

A comprehensive career record for machine review, plus concise CVs for DevSecOps and agentic AI roles. All three are available in plain-text format.

02

VERIFIED LEARNING

Certifications applied in projects

01

Microsoft Certified: Azure Administrator Associate (AZ-104)

Microsoft / Associate certification

02

AI Engineering for Developers Associate

DataCamp / Associate certification

03

Machine Learning Foundations Professional Certificate

Anaconda / Professional certificate

04

Docker Foundations Professional Certificate

Docker, Inc. / Professional certificate

05

GitHub Foundations (GH-900)

Microsoft / Certification

06

Microsoft Applied Skills: Azure Administration

Microsoft / Applied Skills credential

07

Cambridge C1 Advanced English

Cambridge English / Language qualification

Applied knowledge

  • Professional English communication
  • Technical writing
  • Advanced reading and comprehension

Related work

Professional communication across all published work.

03

CURRENT WORKING STACK

Systems capability map

Cloud and platform

Azure / AWS / Azure ML / Docker / Kubernetes / Private networking / GPU workloads

AI systems

Agent harnesses / RAG / MCP / Model evaluation / LLM-as-judge / Synthetic data

Secure delivery

GitHub Actions / Infrastructure as code / Container security / Observability / Evidence reports

Product engineering

Python / TypeScript / FastAPI / React / PostgreSQL / Workflow automation