AI Engineering / Software Architecture / Secure Delivery

Bal Censon

Official website of Bal Censon, a senior technology leader focused on agentic AI, clean architecture, full-stack engineering, mobile edge intelligence, and cloud-ready delivery.

Capability Matrix

Bal Censon brings a practical blend of AI, architecture, and delivery.

AI Engineering

Agentic AI, RAG pipelines, prompt standards, LLM orchestration, and AI-assisted SDLC enablement.

Software Architecture

Clean Architecture, API-first services, secure platform boundaries, and maintainable delivery patterns.

Full-stack Delivery

Modern web applications, mobile products, dashboards, automation, and production-grade backend systems.

Cloud and DevOps

Containerized deployment, CI/CD, cloud services, reliability practices, and secure operational tooling.

Technology Stack

Modern tools, selected for secure and maintainable systems.

The emphasis is on production value: AI where it improves outcomes, architecture where it lowers change cost, and security practices that keep public surfaces small.

Agentic AI

  • Microsoft Agent Framework
  • Semantic Kernel
  • LangChain
  • RAG
  • Azure AI Foundry
  • Anthropic
  • Google GenAI
  • Prompt Engineering

Backend

  • C# .NET
  • FastAPI
  • Flask
  • Python
  • Node.js
  • SQLAlchemy
  • Entity Framework
  • PostgreSQL
  • Redis

Frontend

  • Angular
  • React
  • Next.js
  • Astro
  • TypeScript
  • Vite
  • Tailwind CSS
  • Leaflet
  • Cesium
  • deck.gl

Mobile and Edge AI

  • Flutter
  • Dart
  • TensorFlow Lite
  • ONNX Runtime
  • YOLO
  • OpenCV
  • Google ML Kit
  • Hive
  • Secure Storage

Data and Analytics

  • pandas
  • NumPy
  • SciPy
  • scikit-learn
  • BigQuery
  • Streamlit
  • Plotly
  • PDF Pipelines

Security and Delivery

  • Docker
  • Docker Compose
  • Nginx
  • GitHub Actions
  • Azure DevOps
  • OWASP LLM Top 10
  • RBAC
  • DLP
  • Key Vault

Career Focus

Technical leadership without unnecessary noise.

AI Engineering Leadership

Guiding AI-native transformation, agent design, secure LLM adoption, and engineering team enablement.

Solution and Platform Design

Translating complex requirements into clean, testable, cloud-ready systems with durable architecture.

Engineering Delivery

Building production software across backend APIs, modern frontends, mobile apps, data workflows, and DevOps.

Education

Academic and executive programs supporting technology leadership.

Formal business, technology, and executive leadership education applied to enterprise AI, architecture, and delivery.

Master in Business Administration (MBA)

De La Salle University

CIO Leadership Development Program

Asian Institute of Management

BS Information Technology (BSIT)

Polytechnic University of the Philippines

Representative Technical Work

Systems shaped around business value and engineering control.

These examples describe capability areas rather than private clients, employers, internal environments, or sensitive implementation details.

01

Agentic Workflow Platform

Multi-role AI orchestration patterns for software delivery, analysis, quality, operations, and governance workflows.

02

Document Intelligence Pipeline

LLM-assisted extraction, validation, and structured output generation for complex business documents.

03

Mobile Edge-AI Application

On-device computer vision, secure local storage, sensor integration, and offline-first mobile inference.

04

Reliability Intelligence System

RAG-assisted incident understanding, operations knowledge retrieval, and decision support for production teams.

05

Secure Business Platform

Role-based workflows, reporting, document generation, audit-aware records, and containerized deployment.

06

Data and Signal Analytics

Python analytics, dashboards, ranking models, automated reports, and API-backed mobile delivery.

Architecture Philosophy

Small public surface. Strong internal engineering.

Good systems are understandable under pressure. The work favors clean boundaries, explicit contracts, testable services, secure defaults, and AI capabilities that can be evaluated, governed, and improved over time.