Matthieu D.

▸ Incident Response Pipeline (n8n) Suite of 4 interconnected workflows (WF1–WF4) triggered when Jira tickets transition to "Mitigated". Auto-creates incident report docs, collects approvals, escalates blockers. Result: -80% manual chasing across the on-call team.

▸ AI Incident Reports Production RAG architecture using LangChain + Gemini, with PostgreSQL and BigQuery as sources. Generates structured incident reports from Jira, Google Chat and Google Docs. Standardized post-incident analysis. Result: -40% manual processing time on 200+ tickets/month.

▸ HYPR Performance Review System — Google Apps Script application (28 modules) using Gemini via LiteLLM to generate performance reviews for 500+ employees. Most complex project on the team. Owned spec, build, deployment, HR rollout.

▸ Jira ↔ Asana Sync (GIF — Global Initiative Framework) — Bidirectional framework for project approval flows. Approval bypass logic and cross-functional workflow unification.

▸ Kindly Reminder — Compliance monitoring system with configurable rules, automated weekly reports, and Jira auto-correction.

Stack: n8n · Google Apps Script · JavaScript · Python · LangChain · Gemini · LiteLLM · PostgreSQL · BigQuery · Jira · Asana · Google Workspace APIs

Process: discovery with stakeholders → spec with KPIs → 2-week sprints (POC → prod) → docs + on-call training → 30-day post-launch monitoring.

Mission ended April 2026 currently exploring next senior AI/Automation role.

| Key skills | n8n, Google Apps Script, JavaScript, Python, LangChain, Gemini, LiteLLM, PostgreSQL, BigQuery, Jira, Asana, Google Workspace APIs

Designed and shipped 150+ workflows for 45+ clients across B2B SaaS scale-ups (martech, sales tools), e-commerce (DTC retail), marketing agencies, and tech startups. Maintained 99.9% uptime across the portfolio with centralized monitoring and Slack alerts on 60+ live workflows.

Notable engagements:

▸ Plezi ↔ Pipedrive Bidirectional Sync Production-grade contact sync handling 10k+ contacts/month with retry logic, schema mapping and dedup. Result: 30% time saved on the client's Sales operations team.

▸ Lead Enrichment Pipeline Multi-source enrichment cascade combining Cognism and Lusha APIs, with quality scoring before CRM entry. Result: +25% conversion lift on the client's outbound campaigns.

▸ Enterprise AI Agents Built and deployed agents for marketing copywriting, 24/7 customer support, and logistics planning. Use cases ranged from FAQ deflection to content generation at scale.

▸ Centralized Workflow Monitoring Logging stack across 60+ live workflows with Slack alerts on failures, latency spikes, and SLA breaches. Reduced mean-time-to-detect from hours to minutes.

Typical engagement: 1-4 week missions or monthly retainers.

Owned scoping, technical design, build, client handoff and post-launch support.

Stack: n8n · Make · Zapier · Python · JavaScript · OpenAI · Cognism · Lusha · Salesforce · HubSpot · Pipedrive · Brevo · Plezi · Slack

Key skills | n8n, Make, Zapier, Python, JavaScript, Plezi, Pipedrive, Cognism, Lusha, OpenAI, Slack |

▸ Cascade Lead Generation Pipeline (n8n) End-to-end pipeline: LinkedIn scraping → multi-source verification (Cognism, Kaspr, Lusha) → AI validation scoring ICP fit and data quality. Cut lead processing time by 50% and improved data hygiene before CRM entry.

▸ Bidirectional Brevo ↔ Salesforce CRM Connector Production connector with custom JavaScript anti-duplication logic, sync of contacts, accounts and opportunities. Sustained 5,000+ records/day with 99.9% uptime in production. Owned design, code, monitoring, and incident response.

▸ Planhat Rollout Implemented Customer Success platform with native integrations to Salesforce, BigQuery, Harvstr, Jira and Zendesk. Delivered 360° customer view to CS team, consolidating data previously scattered across 5 tools.

▸ Two Zendesk Apps:

(1) Real-time analytics dashboard surfacing ticket volume, response times, and SLA breaches by segment.

(2) ChatGPT-powered assistant for content quality improvement directly inside agents' workflow.

Cross-functional collaboration with Sales Ops, Marketing Ops, Customer Success, and engineering teams. Process: requirements gathering → spec with

ROI estimate → build with monitoring → deployment + team training → maintenance.

Stack: n8n · JavaScript · Python · Salesforce REST API · Brevo API · Planhat · Zendesk · ChatGPT · BigQuery · Harvstr · Jira

Key skills | n8n, JavaScript, Salesforce, Brevo API, Planhat, Zendesk, ChatGPT, BigQuery |