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Selected Work

Production systems, not demos

Each of these is live in a real business today, built end to end by the same team that scoped it.

01

Media, Recruiting & Field Operations

Publishing throughput, campaign operations and on-the-ground evaluation, run by system rather than by headcount.

Recruiting · Meta Ads · GDPR

Automated Meta Recruiting Campaign System

A German recruiting media agency was running client campaigns through manual ad operations that could not scale beyond the hours of the people doing them. We delivered the feasibility assessment, architecture and statement of work for a Python engine that builds, launches and manages Meta recruiting campaigns end to end, with Monday.com as the operator interface so nobody learns a new tool. GDPR and EU data residency were architectural constraints from the first design decision, not a compliance retrofit.

Capacity beyond operator hours

EU data residency by design

No new tool to learn

Phased build underway

Built With

  • Python
  • Meta Marketing API
  • Monday.com API
  • Hostinger VPS
  • Google Drive API

Social Media Automation · AI Scheduling

Multi-Platform Video Caption & Scheduling Engine

New Drive uploads are detected, validated, batched, and passed through Gemini for optimised multi-platform captions. Clients are matched to profile groups, publishing slots computed, posts scheduled, and results aggregated into an emailed HTML report.

Multi-platform scheduling

AI-generated captions

Structured error alerts

Built With

  • n8n
  • Gemini AI
  • Lomavis API
  • GCS
  • Gmail API

Meeting Intelligence · AI Evaluation

Automated Meeting Intelligence & Scoring System

Zoom recordings arrive via HMAC-validated webhooks, AWS Lambda processes transcripts, and multi-agent pipelines score every meeting across engagement, opening, closure, action items, and effectiveness.

5

Scoring Dimensions

100%

Calls Analysed

0

Manual Review Steps

Built With

  • n8n
  • Zoom Webhooks
  • AWS Lambda
  • OpenAI GPT-4o
  • Google Sheets API

Computer Vision · Field Operations

Video-Based Cleanliness Evaluation System

A Telegram bot captures on-ground cleaning videos, pairs them with reference benchmarks, and analyses both with Gemini to assess debris coverage by zone, logging weighted scores and video links to Sheets for audit.

AI zone-level scoring

Adaptive scoring logic

Centralised audit trail

Built With

  • n8n
  • Telegram Bot API
  • Google Gemini
  • Google Sheets API

Every one of these started as a 30-minute conversation about what was eating the most hours.

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