georgios.hadjigeorgiou
Georgios Hadjigeorgiou Amsterdam · Product & technology leader

Product thinking, engineering delivery, AI agents in production.

I'm a product and technology leader, at home with strategy and roadmaps. I owned the roadmap for an API platform as a product manager, and now lead the engineers who build Worldline's global APIs and merchant-facing apps, and improve the developer experience for the clients who integrate with them. I also build agent tooling of my own. I run agents in production and evaluate them: tracing every run, tracking the details and running experiments to improve performance.

See the work Get in touch
agent ⇄ tool serverillustrative

user Which deploys failed overnight? Tell the owners.

agent tool_call list_deployments { "status": "failed", "since": "24h" }

server 200 OK count: 3 auth-gateway, search-indexer, report-worker

agent 3 failed deploys. I've posted each one to its owning channel.

trace logged 2 tool calls · 1.8s · scored: pass

Feb 2023 – Sep 2025

Product

Product Manager, API & Integrations

  • Owned the roadmap for the API and integration platform, across 12 production applications.
  • Launched Worldline's first public MCP server for merchants.
  • Shipped API Explorer, multiple new payment products, SDKs, OpenAPI specs, MCP servers and real-time integration dashboards.
  • Ran merchant calls to identify problems, assist with integration and settle product decisions.

Sep 2025 – now

Technology

Engineering Manager, API & Integrations

  • Lead three squads of 24 engineers, owning the platform's architecture and reducing cloud costs.
  • Leading the migration from AWS to GCP, and modernising the architecture.
  • Built an in-house Slack agent that runs in production, and help my team with the AI adoption programme.
  • Still work on the product side with design, on all roadmap initiatives.

I owned the roadmap as product manager, then moved into engineering delivery of the same platform.

/ Experience

Sep 2025 – now
Amsterdam

Engineering Manager Worldline

Leading engineering for Worldline's global APIs, merchant-facing apps and the developer experience for clients.

  • 3 squads
  • 24 engineers
  • 5 hires so far
  • Runs agents in production and evaluates them: traces, run-level details, and experiments to improve performance.
  • Works with product directors, the VP of Product, Security, Design, Data protection, Merchant Implementation and Sales.
  • Sets platform standards and AI tooling adoption with colleagues.
  • Partners with stakeholders to influence decisions on AI strategy.
Feb 2023 – Sep 2025
2 yrs 8 mos

Product Manager, API & Integrations Worldline

Product manager for Connect API: the REST APIs, SDKs and mobile-first interfaces merchants use to integrate. Presented Connect API on the Worldline Merchant Services channel.

Aug 2020 – Sep 2022
Nicosia

Co-founder, Product & Technology Manager adoor

  • Built adoor's iOS and Android apps with Flutter.
  • Built and tested the API in Python.
  • Integrated ordering, inventory and CRM with ERP software.
Nov 2019 – Aug 2020
Eindhoven

Teaching Assistant, Researcher TU Eindhoven

Bachelor end project on the spatial and temporal consistency of brain networks across Multi-Echo fMRI combination methods. Publication

Education

2020 – 2023

MSc Electrical Engineering TU Delft

Signals and Systems track. TensorFlow, machine learning, signal processing.

2016 – 2020

BSc Electrical Engineering TU Eindhoven

Matlab, signal processing.

/ Projects & talks

Featured · Worldline

MCP Server for AI agents

A translation layer between LLMs and platform APIs. Clients can use their agents to create payment links, do refunds, retrieve payment insights and manage payments in general.

  • MCP
  • REST APIs
  • LLM integration
Watch ↗

Connect API

REST tools, SDKs and mobile-first interfaces for simple, fast and secure integration with Worldline's platforms.

Watch ↗

Running and evaluating agents in production

Agents only improve when you can see what they did. I trace production runs with Langfuse, keep the details of each step, and run experiments comparing prompts, models and tools against the same cases, so changes are judged on evidence and performance keeps improving.

  • Langfuse
  • Tracing
  • Evaluation
  • Experiments

Conversational agent for engineering operations

A Slack-native agent built in-house, in production. It detects incidents, runs scheduled tasks, runs root-cause investigation, informs the responsible tribe channels, and consolidates channel memory into shared knowledge every night.

  • Python
  • FastAPI
  • Slack API
  • LLM

agent-sidecar

A detective, not a padlock, for AI coding agents. Six engines including a secrets vault, prompt-injection detector, policy engine and a Merkle-chained audit trail, so a bypass shows up as missing evidence. Self-audited before v0.1.0.

  • Python
  • FastAPI
  • SQLite
  • MCP

Basalt

A macOS app that detects Teams meetings, records dual-track audio, transcribes on-device and writes a speaker-labelled Markdown transcript. No cloud transcription. Learns voiceprints from your corrections.

  • Swift
  • Core Audio taps
  • Apple Speech
  • Accessibility API
Site ↗

adoor & academic research

Co-founded adoor: Flutter mobile apps on a Python API, integrated with ERP. Earlier, fMRI brain-network research at TU Eindhoven.

/ Skills

Domain knowledge

What I know about the problem spaces I build in. Payments is the deepest.

Strategy & roadmaps

  • Product roadmapOwned it for the API and integration platform as product manager, from 2023 to 2025.
  • Product strategyDefined strategic milestones to improve merchant developer experience and speed up integrations.
  • Technology strategySet technology and architecture requirements for the platform's cloud, and drove buy-versus-build, microservices and database decisions.
  • Architecture standardsSet platform, API and architecture standards that other tribes follow, and review other teams' platforms and recommend a direction.
  • Roadmap alignmentAlign priorities with Sales, Design and Customer Experience, and help customers through the launch of new products.
  • Business casesDefend ROI, budget and headcount requests to the people who control them.

Payments

  • Card payments & 3DSImproved the 3DS flow on hosted checkout, analysed exemptions to improve merchants' integrations, and integrated Visa AFT and multiple other payment product connections.
  • SEPA, Direct Debit & UK BACSInvestigate disputed payments personally, tracing each one through validation logic and status timelines until the root cause is provable.
  • Global APMsWorked on Klarna, Troy, Samsung Pay, Hyundai Pay, Trustly and more.
  • Partial capturesLed the API design for multiple partial captures without breaking changes.
  • Webhooks & payment eventsDrove the webhooks redesign on event streaming and autoscaling. Peak-season outages ended and there were zero incidents after launch.
  • Hosted checkout & drop-in UIWorking with design on a new drop-in checkout method: competitor research, edge cases that break payment forms, simpler implementation.

Security & authentication

  • Passkeys / WebAuthnDefining requirements for passkeys as a checkout authentication method, an alternative to OTP and 3DS challenges.
  • Identity & accessStandardised API authentication across the platform, on Keycloak and OpenID Connect.
  • Data governanceSet how data is exposed through the natural-language query layer, together with security and data protection teams.
  • Vulnerability managementUse Wiz and vulnerability tracking to make informed decisions on prioritising security improvements.

API & platform design

  • SDKs & OpenAPIOversaw multi-language SDK generation and OpenAPI-led documentation.
  • Developer toolingShipped API Explorer and worked on the Test Card Generator and Integration Dashboards, which cut merchant support escalations and integration friction.
  • Platform consolidationAssisted in merging payment platform offerings into one platform, migrated merchants off legacy systems and retired the overlapping ones.

Agentic commerce

  • Agent protocols (UCP, AP2)Contributed to Google's Universal Commerce Protocol and the AP2 and agentic commerce standards.
  • First European UCP payment handlerLed the team that released it, analysed the protocol and held discussions with Google's tech team.
  • Visa & MastercardPart of Visa's and Mastercard's initial agentic protocol discussions, and of discussions with clients to clarify needs and find product-market fit.
  • Public MCP serverLaunched Worldline's first public MCP server so merchants can build agent-based commerce workflows.

Commerce & product

  • E-commerce & ERP integrationCo-founded a grocery delivery platform that connected a WooCommerce backend to Odoo, Softone, QuickBooks and several payment methods.
  • Funnel & conversion analyticsInstrumented the funnel from landing to completed order, with deep links from campaigns into the native apps.
  • Customer discoveryRan hundreds of structured interviews with merchant payment PMs and developers. They shaped the webhooks redesign and the integration dashboards.
  • A/B testingTested API Explorer layouts, payment product ranking on the selection page, and AI-written against human-written documentation.

Engineering leadership

  • Team leadershipLead three cross-functional squads of 24 engineers across frontend, backend and DevOps.
  • HiringHired engineers into the squads, owning screening, technical interviews and final decisions, with headcount matched to the roadmap.
  • On-call & incident responseImproved the rotation, flattened the escalation policy, and adopted AI in the post-incident review process the squads use.
  • Stakeholder communicationPresent platform strategy, AI results and investment cases to senior leadership and merchant executives.
  • One-on-onesBi-weekly, with coaching on ways of working: prioritising the day, managing time in meetings, and giving and receiving feedback.
  • Performance managementRun a monthly performance cycle on GitLab and Jira delivery data, so feedback is continuous instead of annual.

Technology

What I have used or shipped with, and what I did with it.

AI & agents

  • MCP serversLaunched Worldline's first public MCP server as product manager, then built internal MCP integrations for ServiceNow, Jira, Tempo, Databricks and the AWS Console as engineering manager.
  • Claude Code & agent skillsAssisting 24 engineers in the AI adoption journey. I lead by example: I build, test, deploy, monitor and improve agents in production.
  • Conversational agent (GC Tag)Built it myself in Python and FastAPI. It runs in production, detects incidents, investigates root cause, runs scheduled tasks, creates the Slack knowledge base and informs the owning channels.
  • Google ADK & Vertex AIBuilt the agent's sub-agents with the Agent Development Kit and deployed them on Vertex AI, with embedding and retrieval infrastructure.
  • Databricks GenieWrote the semantic layer's table descriptions, SQL examples and join logic. Runs multiple queries a day for non-technical users.
  • RAG & vector searchBuilt retrieval on Vertex AI and Databricks Vector Search.
  • Engineering automationAgents now do first-pass peer review, minor Spring Boot upgrades, security scans, incident investigation and time logging. About 8 engineer-hours a day saved on incidents, 4 real application vulnerabilities found.

AI quality & cost

  • LangfuseI run agents in production and use it to trace runs, track the details and run experiments that improve performance.
  • EvaluationEvaluation sets, accuracy scoring, LLM-as-judge and structured human review, with failures traced back to prompts, retrieval or the semantic layer.
  • Multi-model routingRoute work across Claude, OpenAI and small open-weight models on cost and quality, and track token spend.
  • Open-weight modelsFine-tuned Qwen with QLoRA on Apple Silicon (MLX) to generate Worldline SDK code, judged in phase-gated evaluations with a cost comparison against frontier models.
  • Agent securityBuilt agent-sidecar solo: secrets vault, prompt-injection detector, policy engine and a Merkle-chained audit trail. I audited it myself and fixed the critical and high findings.

Languages & frameworks

  • Python & FastAPIGC Tag, agent-sidecar and data work.
  • SwiftBuilt Basalt solo, a macOS app that transcribes meetings on-device.
  • FlutterBuilt iOS and Android apps at adoor.
  • SQLAuthored the Genie semantic layer's reference SQL and validated its answers for correctness.

Cloud & infrastructure

  • AWS12 applications on ECS, Lambda, Kafka, S3 and CloudFront. Squads run the instances.
  • Leading the AWS to GCP migrationLeading the move, including CI/CD from Jenkins to GitLab. Earlier, helped move the platform from on-premises to AWS.
  • Terraform & KubernetesRun and adjust Terraform configurations, deploy workloads and work on the CI pipelines that target containers.
  • DigitalOceanProvision and manage droplets for a personal automation project.
  • KafkaThe event streaming behind the webhooks redesign.
  • DatabasesDrove PostgreSQL, Aurora and Oracle architecture investigations.

Delivery & observability

  • GitLab CI/CD & JiraDelivery data from both feeds the monthly team performance cycle.
  • Grafana, Kibana & DynatraceUsed for platform monitoring and incident work at Worldline.
  • CloudWatchPart of the AWS monitoring and alerting setup.
  • Integration dashboardsLaunched real-time dashboards for merchants' API and webhook logs and errors.
  • Google Analytics & FirebaseTracked acquisition, campaigns and the order funnel at adoor, with Crashlytics for app stability.
  • App Store Connect & Google PlayOwned submission and releases for the adoor app, plus store listing optimisation and review responses.

Languages spoken

  • GreekNative.
  • EnglishFluent.

/ Contact

Building with AI agents? Let's talk.

Based in Amsterdam. Open to engineers, AI enthusiasts and builders.

georgios@hadjigeorgiou.eu
LinkedIn ↗ GitHub ↗

Interests

  • AI agents & autonomous systems
  • Agent observability & evals
  • Model Context Protocol
  • API design & DX
  • Agentic commerce & payments
  • Platform engineering
  • AI adoption in engineering teams
  • Signal processing & ML