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Pierre Armanet

AI Agent Engineer · Singapore · Updated November 2026

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AI engineer in Singapore with an EPITA MSc and nearly five years across QA automation, blockchain consulting and applied AI product engineering. I run a 25-service environment operated by scoped agents behind human review gates, and shipped an LLM simulator whose model cascade cuts expensive calls by 85% at 0.96 recall.

Experience

2026 to nowSingapore

AI systems and infrastructure · Independent

Running real products without a team

  • Design and operate an agent-orchestrated production environment: 10 machines, 25 services, 10 domain-scoped agents under a master orchestrator, each with an explicit blast radius, read-only defaults and mandatory human confirmation for destructive or internet-exposing actions.
  • Keep a hard split between execution and system of record: agents diagnose and act, never document or commit. Every change lands as a reviewed commit updating the inventory, the affected runbook and a dated journal.
  • Root-cause failures that health checks miss, such as a routing conflict that cut all remote access while every check stayed green, then remove the single point of failure behind it.
  • 84 versioned infrastructure releases and 137 reviewed commits in three months (July to October 2026), 20 runbooks, zero destructive agent actions.
2024 to 2026Singapore

QA Engineer · iLex

Fintech · interbank loan management · 15-person team

  • Built a Karate-based test automation suite covering 500+ REST endpoints with 80% API coverage, with stage-specific workflows across dev, staging and production.
  • Cut manual QA time by 80% and release testing across DEV, SIT, UAT and sandbox from a full week to 2 days; caught 200+ critical bugs and edge cases through fuzz testing before release.
  • Integrated the suite into a GitHub Actions CI/CD pipeline with DevOps, and wrote the SOPs and a Python sync tool keeping tests aligned with API changes across releases.
2022 to 2023Paris

Blockchain IT Consultant · BearingPoint

Blockchain task force for public institutions and private clients

  • TruBudget (Burkina Faso and Fundação Amazônia Sustentável): adapted an open-source platform now running Burkina Faso's external-finance management; built a custom Express overlay API, QR-based asset tracking in React Native and on-premise blockchain node integration; ran a 10-day technical training for the local IT team.
  • Web3 CRM and mobile app: designed a CRM on XMTP messaging and ERC721/1155 product passports; built the React Native client with account abstraction (ERC4337) for a luxury-sector client.
  • CBDC Madagascar: evaluated 16 CBDC technology suppliers through patent and whitepaper analysis, shortlisting four providers for the Central Bank.
  • Delivered a Web3 curriculum to 400+ consultants and 300+ engineering students across three institutions; built hybrid proofs of concept that helped win contracts.
2020 to 2021Paris

Software Engineering Intern · Plebicom

  • Built an NLP pipeline (fuzzy matching, embeddings, supervised classification) mapping banking transaction labels to company names; 1M+ matches produced to date, in production on ebuyclub.com.

Selected projects

Personas

A synthetic panel for testing an idea, a business model or a price before spending money on it. Built to be pessimistic on purpose, because a language model left alone likes everything.

TypeScript · Hono · React · SQLite · Postgres · Ollama

Stride Support Agent

A customer support agent for a fictional shoe brand, built on one rule: the model writes the reply, code makes the decision. A jailbroken model still has no tool that can move money.

Python · OpenAI API · SQLite · Flask

Voxa

A native macOS app that transcribes and diarizes meetings entirely on-device. Free on the Mac App Store, open source, and used every day for two hundred meetings.

SwiftUI · Python · mlx-whisper · pyannote.audio · Ollama

Hybrid

A training app on the App Store. Type your session as a sentence, import it from Apple Health, and get a score that makes an hour of yoga and an hour of intervals comparable.

Expo · React Native · TypeScript · Supabase · Postgres

Solana DeFi Trading Platform

A multi-strategy trading bot for Solana: DEX arbitrage, liquidations, keepers and LST spreads. It ran on mainnet with real capital, lost money, and taught me more in that hour than weeks of simulation had.

TypeScript · Node.js · Solana · SQLite · PM2

Pokémon TCG Scanner

Photograph a trading card and get back which card it is, which set it was printed in, and how much that answer can be trusted. Entirely on the phone, with no network call at any stage.

Python · PyTorch · Core ML · Swift · Vision

Education

EPITA, France

2017 to 2022

MSc in Computer Engineering, IT Consulting and Innovation. Taught blockchain at EPITA for six months in 2023.

Contact

Skills

AI systems
Agent orchestration, tool and permission design, LLM evaluation (labelled reference sets, Cohen's kappa, recall), model cascades, RAG, MCP, Anthropic API, local LLMs (Ollama, Qwen)
Languages
TypeScript, Python, Swift, Solidity, C/C++, Java
Product stack
React, React Native, Expo, SwiftUI, Next.js, Node.js, Express, Supabase, PostgreSQL, SQLite, MinIO
Infra & QA
Proxmox, Docker, Traefik, Cloudflare Tunnel, Tailscale, ZFS, GitHub Actions, Karate, API test automation, fuzz testing
Blockchain
Solidity (EVM, ERC721/1155/4337), Solana (web3.js, Anchor, Jito), XMTP
Soft skills
Teaching and training (700+ people trained), client delivery to public institutions, end-to-end ownership without a team, written operating procedures