SELECTED WORK / 2018—2026

Engineering work across AI, data and operations.

Six case studies showing the arc from embedded computer vision and enterprise MLOps to AI automation, integration architecture and technical delivery leadership.

Portfolio range
  • AI
  • Automation
  • Data
  • MLOps
  • Integration
  • Leadership
01Data Engineering · APIs · AI · Automation

Amazon Commerce Data Platform

Building data pipelines that connect Amazon commerce sources to validation, analytics, automation and AI-assisted investigation.

Role
AI & Automation Engineer
Context
International e-commerce operation
Focus
Ingestion · Transformation · Data quality
  1. 01
    SourceAds · Seller · Vendor
  2. 02
    ConnectAmazon APIs
  3. 03
    ProcessPython ingestion
  4. 04
    DataBigQuery · L1 raw
  5. 05
    ProcessL2 · transform · normalize
  6. 06
    DataL3 · validate · business
  7. 07
    OutcomeAnalytics · automation · AI
02AI Engineering · Automation · Integrations

AI Agents & Workflow Automation

Engineering reusable automation flows that connect business triggers, LLM capabilities, APIs, operational data and system actions.

Role
AI & Automation Engineer
Context
Confidential operational initiatives
Focus
Orchestration · LLM integration · Reuse
  1. 01
    SourceBusiness trigger
  2. 02
    Connectn8n orchestration
  3. 03
    ProcessBusiness logic
  4. 04
    ProcessLLM · agent step
  5. 05
    DataAPIs · DB · SaaS
  6. 06
    ProcessDecision · action
  7. 07
    OutcomeNotify · persist
03Systems Integration · Enterprise Automation

Enterprise ERP, Finance & CRM Integration

Translating distributed ERP, finance and CRM processes into API-based integrations and automated operational workflows.

Role
Founder · Automation & Integration Consultant
Context
Sperandio Malta Automation
Focus
Requirements · Data mapping · Integration
  1. 01
    SourceSource ERP
  2. 02
    ConnectAPI extraction
  3. 03
    ProcessValidate
  4. 04
    ProcessMap · transform
  5. 05
    DataBusiness rules
  6. 06
    DataFinance · CRM
  7. 07
    OutcomeOperational workflow
04Technical Leadership · AI · Automation · Data

Real Estate Technology & AI Transformation

Coordinating technology and AI delivery across business requirements, solution architecture, engineering teams and external vendors.

Role
Technology & AI Project Manager
Context
Atlas Tech
Focus
Requirements · Architecture · Delivery
  1. 01
    SourceBusiness needs
  2. 02
    ConnectScope · priorities
  3. 03
    ProcessSolution architecture
  4. 04
    DataTeams · vendors
  5. 05
    ProcessAcceptance · validation
  6. 06
    OutcomeTechnical delivery
05Machine Learning · MLOps · Cloud

Enterprise MLOps Platform

Developing platform capabilities for model deployment, monitoring, data quality, metadata, traceability and production maintenance.

Role
Machine Learning / MLOps Engineer
Context
ACT Digital
Focus
Model lifecycle · Metadata · CI
  1. 01
    SourceModel contract · Git
  2. 02
    ConnectStreamlit · Databricks auth
  3. 03
    ProcessCI analysis · docs
  4. 04
    DataOpenMetadata · GCP
  5. 05
    ProcessDeploy · monitor · quality
  6. 06
    OutcomeProduction lifecycle
06Computer Vision · Edge AI · Robotics

Edge AI & Computer Vision

A production embedded-vision pipeline connecting object detection, tracking and prioritization to audio alerts for an assistive robot.

Role
Computer Vision Specialist
Context
Vixsystem
Focus
Detection · Tracking · Audio alerts
  1. 01
    SourceCamera
  2. 02
    ConnectRaspberry Pi · ROS
  3. 03
    ProcessTFLite · MobileNet
  4. 04
    DataDetect · track
  5. 05
    ProcessPriority · position
  6. 06
    OutcomeAudio alert