R DIMESCU.RO
Est. Craiova
rinkt.com ↗
Co-founder & CTO, Rinkt

Razvan Dimescu

Iturn manual operations into reliable software — inconsistent documents, unreliable workflows, regulated industries. RPA engines, workflow orchestration, and AI document pipelines shipped across accounting, energy, and finance in Romania and the UK.

▸ Currently Building Rinkt — an MCP-native RPA platform for back-offices. Licensed per automation, not per seat.

Discuss an automation 20-min intro · no deck, no pitch
Now · What I'm building

Day job is Rinkt — an MCP-native RPA platform for back-office work. On the side, Numa — a sovereign DNS resolver I wrote from scratch in Rust, now my daily driver.

Commercial · Paid work

Rinkt

MCP-native RPA platform for accounting firms and back-office teams. Cross-platform bots, durable execution, AI agents as first-class callers.

Co-founder & CTO since 2021. Built the platform and every automation running on it — a cross-platform runner across browsers, desktops, and Office apps, with durable execution that recovers mid-step. The UiPath shape, rebuilt for AI agents as first-class callers — not bolted on.

How we price it: licensed per deployed automation — you pay for the bots that run, not the seats that watch. Typical engagement starts at 3 automations per client; replaces 0.5–2 FTEs of back-office time.

— Automations shipping on Rinkt
Go · FastAPI · Temporal · NATS · Playwright ● Active rinkt.com ↗
Open source · Side project

Numa

DNS you own. Everywhere you go.

Reach a service on your laptop from your phone or your team — without accounts, third parties, or giving up your keys. Portable resolver written from scratch in Rust — zero DNS libraries, wire protocol parsed by hand. Recursive resolution from root nameservers with full DNSSEC, ad blocking across 385K+ domains, DNS-over-HTTPS, .numa local domains with auto-TLS, LAN service discovery. My daily-driven system DNS.

Rust · tokio · axum · rustls ● Active · v0.13 numa.rs ↗ blog ↗ source ↗
Field Reports Case 01 — 04
— Delivered via Rinkt 2021 → present
Case 01
Sector
E-commerce · UK distributor
Scope
Returns processing pipeline
Stack
OCR · GPT-4o · pgvector
Routing
Auto / Review / Escalate
Delivery
Via Rinkt

Unstructured email returns → confidence-based auto-processing.

Product returns arrive as inconsistent emails — PDFs, phone photos, varied formats. Built a pipeline that OCRs attachments, classifies issues with GPT-4o, matches products via vector similarity, and routes by confidence: auto-approve, review, or escalate.

Case 02
Sector
Finance · UK brokers
Scope
Quote aggregation · 10+ funders
Outcome
30 min → seconds
Stack
Playwright · Go · NATS
Delivery
Via Rinkt

Vehicle finance rates across 10+ funders, in parallel.

UK finance brokers manually check rates across 10+ funders. Built parallel browser and API workers that query every funder concurrently and return unified quotes — replacing a 30-minute manual process with seconds.

— Prior role Batiq SRL · AutoGrid · 2018 – 2025
Case 03
Sector
Energy · Grid services
Scope
Aggregation, dispatch, C&C
Duration
7 years · POC → team of 8
Geography
France · Spain · EU grid
Role
Staff engineer · Batiq SRL

Solar aggregation, gas dispatch, frequency-containment reserves.

Started as a single-developer POC, grew into a team of 8 over seven years. Built aggregation software for solar farms totalling 5 GW, direct dispatch on negative energy prices with real-time notifications, and command & control for gas turbines producing 800 MW+. Deployed software and hardware for frequency-containment reserves across sites in France and Spain. Owned CI/CD, service deployment, SFTP configuration, and Helm charts throughout.

Case 04
Sector
Energy · RO distributor
Scope
Email triage · NLP
Training set
36K messages · 212 categories
Accuracy
~79% baseline
Role
Prior consultancy

Automated email routing across 212 internal categories.

A Romanian energy distributor routes thousands of customer and partner emails by hand. Built an ML pipeline (SVM + TF-IDF) that classifies incoming messages and extracts structured rules from their bodies — trained on 36K historical emails, now progressing toward production deployment.

Open source · Side projects 01 — 03
01

gopdf

PDF extraction & creation, pure Go.

Go · MIT ◌ Maintained source ↗

Parse, extract, and generate PDFs from Go without CGo or external libraries. Zero dependencies. Same protocol-layer instinct as Numa — read the spec, write the parser.

02

go-launcher

Auto-updates that don't brick themselves.

Go · MIT ◌ Maintained source ↗

Open-source Go library — external supervisor pattern, versioned directories, automatic rollback on failure. Think Squirrel, for Go desktop apps.

03

peekm

Markdown viewer with AI-session tracking.

Go · npm · Homebrew ◌ Maintained peekm.dev ↗

Single Go binary, installable via npm or Homebrew. Designed for reading long markdown + tracking AI-assisted coding sessions at a glance.

Contact

Messy processes, unreliable workflows, documents that don't parse themselves — if that sounds familiar, let's talk.

Discuss an automation

razvan.dimescu@rinkt.com · LinkedIn · GitHub

Writing: Starting a logbook (Apr 2026) · archive at /writing/ · DNS pieces on numa.rs/blog.