Mathieu Olivares
Industrial Performance & Product Management
I improve industrial performance by turning data and field insights into decisions, action plans and measurable results.
01. About
For nearly ten years, I ran supplier performance and critical processes in industry. That's where I learned to analyze risk, decide from the data, coordinate teams without any formal authority, and carry action plans through to the result.
Then I learned to code, so I could build the tools I wish I'd had on the floor. Today I pair that understanding of industrial operations with product management and technology, to turn a business problem into something that actually works.
A few proof points for that mix of industry and product:
- ▹A product rollout shipped to 400 suppliers, with 90% adoption.
- ▹A supplier scorecard process automated, cutting handling time by 75%.
- ▹LINQA, a B2B SaaS shaped by user interviews, then built through to the MVP and the Go/No-Go call.
- ▹Several personal products and automations, deployed and genuinely used, documented across this portfolio.
I'm looking for roles at the meeting point of industry, product, and transformation: Supplier Performance and Supply Chain, Product Management for B2B industrial solutions, and Solutions or Deployment roles where domain expertise is what counts.
02. My Expertise
I connect the business need, the product, and the tech to go from discovery to a working solution, deployed and used.
Product, Tech & AI
Ops, Industry & Performance
Product & Strategy
Tech Projects 03.
Flagship Project
LINQA: SaaS for Industrial Supplier Management
Ten years wrestling with Excel files to track suppliers. Enough. I built the tool the industry was missing: a SaaS cockpit that pulls together quality, delivery, and risk data, and starts spotting problems before they blow up.
The Lab: Side Projects & Experiments
Personal Cockpit
My new-tab page brings together tasks, calendar, habits and job search tracking. It keeps my daily focus in sight and shows me what I keep putting off. My AI agent reads the same information, helps me put my priority into words on Telegram and asks what's getting in the way when a task isn't moving. The decision stays mine.
Anti-Gaspi
Tired of tossing expired yogurts forgotten in the back of the fridge. So I built an app: scan the barcode, AI cleans up the product name so it's readable, and Home Assistant pings you before it hits the trash. All self-hosted in my homelab.
AI Agent
Three AI agents that work so I don't have to. The first schedules my bike rides by checking the weather. The second sends me a morning briefing from my Notion tasks. The third runs my smart home by voice. Everything goes through n8n, Telegram, and zero manual effort.
Connected Pomodoro
A physical timer sitting on my desk. I press it, and my iPhone switches to focus mode on its own over Bluetooth. My Mac follows right behind. When the Pomodoro ends, everything goes back to normal. One gesture, zero distractions.
E-ink Dashboard
A screen on the wall. No flashy LEDs, no scrolling. Just the essentials: weather, calendar, home sensors, morning trains, displayed on e-ink like ink on paper. I built the aggregation backend, the control interface, and even the 3D-printed case. Been using it every day for two years.
Wishlist
The classic family Christmas problem: everyone wants to give the same thing, nobody knows what to ask for. I built a secure app with role management, secret gift reservations, and even a togglable snowflake theme. My family actually uses it, and their feedback beat any formal user test.
Connected Safe
A wooden safe. Decorative, useless. Perfect for a technical challenge. I modeled a gear mechanism in 3D, wired up a Raspberry Pi Zero with an NFC reader, and reverse-engineered the Apple HomeKey protocol. Result: the safe opens when I bring my Apple Watch close. Useless? Totally. Satisfying? Absolutely.