Cloud Systems Background
The Cloud Philosophy

Cloud Architecture: Bringing Imaginations to Life.

My journey into cloud engineering was born out of a "wild imagination and traits of perfectionism." Early in my career, I often found it challenging to find the right physical resources to match the complexity of my ideas.

"Platforms like GCP and AWS changed everything—putting the entire world’s compute power at my fingertips."

Expertise & Critical Components

Platform

GCP
AWS
Azure

Data

BigQuery
Snowflake
DataBricks
Oracle

AI & GenAI

Vertex AI
Bedrock
AgentCore
Gemini
Claude

Orchestration & Integration

Cloud Composer
API Configurations
Cloud Scheduler
Apache Airflow

Development Stack

Python
Node.js
React
TypeScript
NextJS
Tailwind CSS
PhP

Web & Data Formats

HTML
Java Script
JSON
XML
YAML

DevOps & Infrastructure

Docker
Kubernetes
Terraform
IAM

Cloud Case Studies

AMARIS

Automated Org Chart Builder

Purpose

Enable AMARIS consultant managers to ingest static team-structure images for third-party clients, enrich personnel records, and maintain a live, exportable organization chart. This addressed the critical gap where only static pictures of client team structures were available, lacking automated capture of roles, contact details, and bios.

High-Level Outcome

Reduced manual org-chart creation time from 2 months to under 7 days and improved data-update cadence to near real time.

Solution Design Preview

Core Components
React UI Front-end
Google Cloud Storage (Raw Images)
Cloud Run Service 'DocProc'
Custom Document AI Processor
BigQuery Dataset 'org_charts'
Cloud Run Service 'EnrichProc'
Lusha API Integration
Looker Studio Live Dashboard
Scaling & Compliance

The architecture utilizes Cloud Run autoscaling (1-10 instances) and multi-region BigQuery. Security is enforced through isolated IAM roles, VPC Service Controls, Cloud Armor, and end-to-end encryption.

System Overview

1. User uploads org-chart image via UI to GCS. 2. 'DocProc' fetches image and calls Custom Document AI to extract raw hierarchy. 3. raw data is written to BigQuery. 4. 'EnrichProc' retrieves new rows and queries Lusha API for enrichment. 5. Looker Studio renders the live, hierarchical chart.

AMARIS

CV Skills Analyzer

Purpose

Streamline AMARIS recruitment process through automated CV analysis, skills extraction, and intelligent candidate-job matching to eliminate manual screening bottlenecks.

High-Level Outcome

Reduced candidate screening time from 2 weeks to instant while improving match accuracy by 85% and establishing a scalable recruitment intelligence platform.

Solution Design Preview

Core Components
React-based UI for consultant managers
Cloud Run 'CVProcessor' service with custom Document AI model
Cloud Run 'SkillsExtractor' integrating Lightcast API
Cloud Run 'JobAnalyzer' for job requirement processing
Custom Vertex AI Gemini model for candidate matching
BigQuery data warehouse with structured candidate/job datasets
Looker Studio dashboard for recruitment analytics
Scaling & Compliance

Cloud Run auto-scaling (2-50 instances), BigQuery 99.9% SLA, circuit breaker patterns for external APIs, VPC Service Controls, Cloud Armor, and data encryption with customer-managed keys.

System Overview

1. Manager enters Job ID. 2. 'CVProcessor' calls Mantu ATS API to retrieve CVs. 3. Document AI OCR extracts structured data. 4. 'SkillsExtractor' sends text to Lightcast API for normalization. 5. 'JobAnalyzer' fetches and processes job requirements. 6. Gemini model analyzes fit and generates weighted rankings.

Freedom Confectionery

Automated Social Media Contest Winner Selector

Purpose

Streamline Freedom Confectionery's social media contest management by automating the tracking of Instagram follows, hashtag usage, and Google reviews to eliminate manual winner selection processes.

High-Level Outcome

Transformed a 4-day manual process into a 1-day automated system, reducing marketing team workload by 80% while maintaining compliance with privacy regulations and NDAs.

Solution Design Preview

Core Components
Web-based UI for contest management
BigQuery data warehouse with separated contestant action databases
Custom Vertex AI Gemini model for identity matching
Cloud Run 'InstagramProcessor' utilizing Instagram REST API
Cloud Run 'ReviewsCollector' integrating Google Reviews API
Cloud Run 'WinnerSelector' for result generation
Looker Studio dashboard for analytics
Scaling & Compliance

Cloud Run auto-scaling (1-20 instances), BigQuery partitioned tables by date, circuit breaker patterns for API dependencies, VPC Service Controls, Cloud Armor protection, and strict GDPR-compliant data retention policies.

System Overview

Due to Non-Disclosure Agreements (NDA), the specific Data Flow and Control Flow details for this proprietary logic cannot be revealed.

Soul Movement

PainMapper: 3D Movement Assessment

Purpose

Developing an ongoing specialized movement assessment tool designed to help individuals pinpoint and describe physical pain using interactive 3D technology and AI analysis.

High-Level Outcome

Created a high-precision digital baseline for rehabilitation, transforming subjective pain descriptions into objective 3D heat maps and functional data.

Solution Design Preview

Core Components
Next.js 15 & React Framework
Three.js 3D Rendering Engine
Genkit & Google Gemini AI
Databricks (Longitudinal Storage)
ShadCN UI & Tailwind CSS
Scaling & Compliance

Leverages Vercel edge functions for high-speed 3D asset delivery. Data security is managed via Databricks Unity Catalog for HIPAA-compliant medical data handling and deep analytical processing.

System Overview

1. User follows guided movement videos. 2. User interacts with a Three.js 3D model to 'pin' pain points. 3. Detailed metadata (duration, category, intensity) is logged per pin. 4. Genkit processes disparate points into a clinical summary. 5. Historical data is synced to Databricks for longitudinal progress analysis.

Soul Movement

FasciaFlow: Health Assessment Platform

Purpose

Interactive health assessment platform designed to help users evaluate the health of their fascia (connective tissue) and breathing patterns. It guides users through physical self-tests and uses AI to generate nuanced, actionable reports.

High-Level Outcome

Successfully deployed as a high-engagement entry point for the Soul Body Sanctuary ecosystem, providing instant AI-synthesized health reports to non-technical users.

Solution Design Preview

Core Components
Next.js App Router UI
Adaptive Logic Engine (Dynamic Question System)
Genkit & Google Gemini AI
Browser LocalStorage (Staging)
Databricks (Longitudinal Profile Records)
ShadCN UI & Tailwind CSS
Scaling & Compliance

Firebase-ready architecture for future cloud-sync. Currently utilizes edge computing for AI report generation and Databricks for centralized longitudinal data warehousing across the sanctuary ecosystem.

System Overview

1. User completes guided multi-stage questionnaire. 2. Responses staged in LocalStorage for persistence. 3. Logic engine adapts questions based on bio-feedback. 4. Genkit/Gemini processes data into a plain-English report. 5. Individual profile data synced to Databricks for deeper long-term analysis.

Soul Movement

PostureVision: AI Posture Assessment

Purpose

AI-driven health application designed to provide instant, professional-grade posture assessments from a single photograph, bridging the gap between clinical expertise and at-home health tracking.

High-Level Outcome

Successfully integrated clinical-grade orthopedic measurements (like Q-Angle and lateral shifts) into a consumer-facing web application.

Solution Design Preview

Core Components
Mediapipe (Skeleton Mapping)
Next.js & React Framework
Genkit & Google Gemini AI
Databricks (Longitudinal Records)
HTML5 Canvas (Visual Overlays)
Scaling & Compliance

Zero-storage model for images ensures privacy. Computed numeric snapshots are stored in Databricks for longitudinal analysis and progress tracking.

System Overview

1. User uploads/captures photo. 2. Capture Layer provides feedback on image quality. 3. Mediapipe detects 33 body landmarks ephemerally. 4. Genkit-powered flows perform complex geometric analysis (shifts, tilts, angles). 5. Analysis snapshots stored in Databricks. 6. Presentation Layer renders interactive canvas overlays onto user's photo.

Soul Movement

MuscleMapper: Professional Assessment Tool

Purpose

Provide wellness professionals with a digital tool to streamline client assessments, enhance communication via interactive mapping, and automate professional report generation.

High-Level Outcome

Replaced manual notes with an interactive visual system, reducing administrative time by 60% and improving client plan adherence through clear, branded reports.

Solution Design Preview

Core Components
Next.js App UI
Interactive 2D/3D Body Canvas
Automated PDF Generation Engine
Browser Session Staging
Databricks (Longitudinal Records)
Scaling & Compliance

Optimized for high-speed session handling with background sync to Databricks. Designed to scale across clinical and athletic environments with multi-user professional access.

System Overview

1. Intake form captures client metadata and program duration. 2. Professional uses Assessment Canvas to click-to-select muscles across 4 views. 3. System logs 'Strengthen' vs 'Release' actions per muscle. 4. Automated engine compiles results into professional layout. 5. PDF Generator creates exportable takeaway. 6. Data synced to Databricks for longitudinal profile records.

LOOM Labs

SEO Engine: Agentic Content Strategy

Purpose

Automate high-level content strategy and the production cycle by leveraging agentic AI to scale organic reach while ensuring factual brand consistency.

High-Level Outcome

Ongoing project. Revealed Summer 2026. Architecting a unified 'Brand Brain' for automated, brand-aware multi-channel campaign generation.

Solution Design Preview

Core Components
Next.js 15 Management Dashboard
Genkit & Gemini 1.5 Pro Agentic Workflows
Knowledge Layer 'Brand Brain' (PDF/CSV Parsing)
Automated Visual Asset Creation (Imagen)
Multi-Agent Internet Research Tools
JSON-LD Technical Schema Engine
Scaling & Compliance

Global edge deployment with partitioned Knowledge Bases for brand isolation. Enterprise-grade context handling compliant with global data standards.

System Overview

Confidential. System utilizes recursive multi-agent research loops and production pipelines. Strategic logic reveal scheduled for Summer 2026.

Cloud Credentials

Ongoing education and verified mastery in distributed systems.

Cloud Computing Essentials

Microsoft Azure Fundamentals (AZ-900)

Learning BigQuery

Learning Terraform

Docker & Kubernetes Foundations