Jordi Llonch
Verified Expert in Engineering
Python Developer
Melbourne, Victoria, Australia
Toptal member since April 4, 2014
Jordi architects and builds production AI systems, including a model-agnostic AI orchestrator for agentic workflows at adomo.ai and an AI inference engine on a custom graph database. He has served as CTO and technical lead for multiple companies, scaling teams and architecting production systems. His enterprise engagements include Deloitte, Caterpillar, Toyota, and Gartner. Jordi is also an active contributor to open source projects.
Portfolio
Experience
- SQL - 20 years
- Linux - 20 years
- Python - 20 years
- APIs - 20 years
- Elasticsearch - 12 years
- Go - 10 years
- Web Scraping - 10 years
- Docker - 5 years
Preferred Environment
Cloud, Kubernetes, Docker, Git, Python, Unix, Agentic AI, Infrastructure as Code (IaC), Go, Ollama, API Design, Open Source
The most amazing...
...thing I've built is an AI inference engine on a graph database, from scratch to production, solving both functionality and technical operations.
Work Experience
Lead Developer
Cxo AGI LLC
- Initiated and led a model-agnostic AI orchestrator for agentic workflows, including memory, RAG, and document handling, guiding it from product definition through MVP to production (adomo.ai).
- Built the application in structured, fully tested Python, separating the orchestrator layer from modular tools for maintainability, scalability, and a clear execution flow.
- Shipped customer-facing agents on top of the platform, enabling end users to automate their own workflows.
Full-stack Engineer and Architect
Abov Group
- Architected and developed a scalable SaaS accounting platform that reached 15,000+ users within its first year.
- Designed and implemented a secure accounting data model for annual-report generation, improving data-retrieval speed by 30%.
- Owned the technical requirements for obtaining certifications and third-party service approvals.
- Built and tested robust back-end features in Python and Elm, to a high bar of code quality and industry best practices.
Software Engineer
Toyota Research Institute
- Developed core geo/mapping data components of the automated mapping platform (AMP) in C++ and Python for Toyota's automated-driving program.
- Improved the performance of the geo/mapping data processing and expanded testing across the platform.
- Retained through the TRI-AD to Woven Alpha corporate reorganization, continuing the same platform work without interruption.
Data Modeling Engineer
Gartner
- Migrated a legacy workflow to a modern distributed system for the world's leading IT research and advisory firm, significantly increasing efficiency and scalability.
- Built an infrastructure to run machine-learning models on 5,000 daily call transcripts, facilitating feature extraction through model deployment to assess call quality at scale.
- Created tooling that semi-automates database documentation, publishing updates to Confluence automatically on every migration.
- Analyzed the legacy system, identified improvement areas, and drove the refactoring plan.
Search Engineer
Caterpillar
- Improved the performance of periodic data-ingestion processes by 80%, resolving recurring cloud-timeout failures.
- Analyzed and optimized enterprise search-query performance on Cat Digital's Azure Search platform.
- Delivered search-index design recommendations and best practices for the platform.
Senior Back-end Developer
Deloitte
- Architected and developed a high-performance data-ingestion system that infers knowledge from vendor-agnostic robotic process automation (RPA).
- Ideated and implemented a complete development lifecycle: requirements written in plain English, turned into automated acceptance steps, with continuous integration, delivery, and platform orchestration.
- Developed tools and processes that improved team performance and product stability.
- Retained across three consecutive enterprise contracts.
Data Architect
Computer Security Company (under NDA)
- Architected and developed a machine-learning inference system using graph theory over a 500,000-node graph.
- Implemented a wide variety of data ingesters from online sources using crawling, APIs, and other strategies.
- Established a rigorous development lifecycle with strong testing and CI/CD for the team.
CTO
Nitidum Pty, Ltd.
- Ideated, architected, and built a data cluster able to identify business opportunities from online information.
- Built the crawling engines feeding it; parts of the work became open-source projects and contributions to existing ones.
- Managed infrastructure at scale with automated provisioning and deployment using Chef.
- Adopted Elasticsearch-based instrumentation (ELK) before it became the industry-standard solution for the purpose.
- Held concurrent advisory CTO role, alongside a full-time position.
CTO
Education Sector
- Directed the organization's technical strategy as CTO.
- Built and mentored the development team throughout the engagement.
- Created the engineering onboarding process from scratch.
- Automated the development lifecycle, from build to deployment.
Analyst, Developer
Resco Manager
- Created a large modular web application in Django with Google Earth integration for managing remote area-electrification projects.
- Designed and implemented flexible data structures to handle the complexity of the business requirements.
- Prepared the teaching materials supporting deployment across multiple countries.
- Held a part-time role alongside a full-time position at AtCUBIC.
Technical Manager
AtCUBIC
- Created the first large-scale automated web hosting platform in Spain.
- Implemented high availability SLA for network and operations.
- Created a service to orchestrate Linux servers in the pre-cloud era.
Experience
AI Workflow Orchestrator
http://www.adomo.aiRPA Aggregator
Built using Go, ElasticSearch, Beats, and Logstash on a CI/CD pipeline deploying automatically into Kubernetes clusters using Terraform.
Ontology-based Inference System
Used Prometheus and Grafana for instrumentation, Sentry for exception reporting, and Beats and Logstash for log centralization.
High-capacity Broad Crawler
Data were indexed in an Elasticsearch cluster built on a Kubernetes cluster, instrumented with Prometheus and Grafana with exceptions handled by Sentry and logs centralized with Logstash and Beats.
RescoManager
Developed a blockchain-precursor technology to synchronize disconnected data pools.
Django Tastypie | Elasticsearch Support
https://github.com/llonchj/django-tastypie-elasticsearchScraPy Sentry Plugin
https://github.com/llonchj/scrapy-sentryPlugin for YOURLS URL Shortener
https://github.com/llonchj/yourls_pluginsHypertable Cookbook for Chef
https://github.com/llonchj/chef_hypertableBuilt during the pre-cloud era, when provisioning a distributed data infrastructure typically meant hand-configuring each node, this let a Hypertable cluster be stood up consistently across environments (development, staging, production) with a single command, reducing setup time from hours to minutes and eliminating configuration drift between nodes.
Munin Plugin for Hypertable
https://github.com/llonchj/hypertable-muninMunin is a networked resource monitoring tool that can help analyze resource trends
Hypertable is an open-source software project to implement a database management system inspired by publications on the design of Google's Bigtable.
Financial Arbitrage Engine
MT5 Algorithmic Expert Advisors (Trading Robots)
Certifications
Data Analysis
Johns Hopkins University
Machine Learning
Stanford University
Big Data
Indian Institute of Technology Delhi
Skills
Libraries/APIs
Node.js, Tastypie, Beautiful Soup, Django ORM, REST APIs, SQLAlchemy, SpaCy, Interactive Brokers API, OpenAPI, PyTorch, Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, ZeroMQ, Protobuf, React, Pydantic, Playwright, Xero API, Google Maps, TensorFlow
Tools
Logstash, Apache HTTP Server, RabbitMQ, Postfix, NGINX, ActiveMQ, Chef, Haystack, Vagrant, Terraform, Cucumber, Google Kubernetes Engine (GKE), GitHub, Jira, Docker Compose, Named-entity Recognition (NER), AWS SDK, Odoo, Claude, Claude Code, Git, Terminal, Azure Search, Azure Kubernetes Service (AKS), BrowserStack, AWS IAM, MQTT, BigQuery, ELK (Elastic Stack), Open Office, Scraping Hub, TextMate, OpenRefine, Sentry, GIS, Grafana, Kibana, logstash-forwarder, Amazon Cognito, Celery
Languages
Go, SQL, HTML5, Python, Python 3, Python 2, TypeScript, JavaScript, Ruby, GraphQL, C++, Snowflake, Rust, C, PHP, Java, Elm
Frameworks
Scrapy, Django, Flask, GeoDjango, Selenium, gRPC, Alembic, Swagger, Agentic Frameworks, LangGraph, Svelte, .NET, Tailwind CSS, Hadoop, Bootstrap, Spark
Paradigms
Functional Programming, Testing, Automation, REST, E2E Testing, Management, Continuous Deployment, Continuous Delivery (CD), Continuous Integration (CI), Test Automation, Microservices Architecture, Microservices, DevOps, Automated Testing, Event-driven Architecture, Agile, ETL, Test-driven Development (TDD), Serverless Architecture, Penetration Testing, HIPAA Compliance
Platforms
MacOS, Docker, Linux, Google Cloud Platform (GCP), MetaTrader, MetaTrader 5, Temporal Cloud, LangSmith, Ollama, Amazon Web Services (AWS), Red Hat Linux, AWS Lambda, Kubernetes, Apache Kafka, MetaTrader 4, Unix, Azure, Azure Functions
Storage
JSON, Redis, BigTable, MySQL, PostgreSQL, MongoDB, Hypertable, NoSQL, Elasticsearch, Amazon S3 (AWS S3), Databases, Memcached, Azure Cache, Graph Databases, GeoServer, Google Cloud, HBase, SQLite, InfluxDB, Relational Databases, Amazon DynamoDB, Amazon Aurora
Industry Expertise
Trading Systems, Project Management, Healthcare
Other
Scraping, Integration, Unix/Linux Virtualization, Virtualization, HTTP, Dovecot, A/B Testing, UI Testing, People Management, Web Scraping, Prometheus, Grafana 2, Robotic Process Automation (RPA), QA Automation, Software Development, Architecture, IT Project Management, Back-end, CTO, Distributed Systems, Cloud Storage, Software Architecture, System Design, Trading, Command-line Interface (CLI), Data Architecture, Automated Trading Software, Technical Leadership, Data Scraping, Containerization, API Integration, Data Science, Data Engineering, Full-stack, FastAPI, Geospatial Data, SaaS, Performance, High-load, Scalability, Algorithmic Trading, WebSockets, System Architecture, Trading Bots, Large Language Models (LLMs), Infrastructure, Code Review, Leadership, Security, AI Agent Orchestration, Agentic AI, Cloud Infrastructure, LLM Integration, AI-generated Code, Technical Architecture, Education Technology (Edtech), Feature Engineering, Financials, Reinforcement Learning, Time Series Analysis, Front-end, OpenAI, Metadata, Data Management, Performance Optimization, Agentic AI Systems, Agentic Workflow Design, Event-driven Systems, Machine Learning Operations (MLOps), Software Engineering, AI Voice Agents, ElevenLabs Solutions, AI Chatbots, LangChain, Real-time Data, Financial Markets, Grok, Gemini, AI-assisted Development, Finance, Startups, AI Architecture, AI Engineering, Cloudflare, API Design, Open Source, Software as a Service (SaaS), Prompt Engineering, System Optimization, Multi-tenant SaaS, Retrieval-augmented Generation (RAG), APIs, Cloud, Pipelines, Serverless, Machine Learning, BIND9, GeoJSON, Kubernetes Operations (kOps), Continuous Monitoring, Automation Tools, System Architecture Design, Full-stack Development, Natural Language Processing (NLP), Cloud Architecture, Internet of Things (IoT), CI/CD Pipelines, Cryptocurrency, TradingView, Forex Trading, Artificial Intelligence (AI), Data Visualization, Web Development, Solution Architecture, Mapping, Team Leadership, Webhooks, GitHub Actions, Google BigQuery, Manufacturing, Team Leadership & Supervision, Compliance, Amazon DocumentDB, Cloudflare Durable Objects, AI Model Training, Legal Technology (Legaltech), GRAPH, Google Earth KML, Google Earth, Fintech, Data Analysis, Big Data, Instrumentation, Beats, GraphDB, Large-scale Web Crawlers, Web Crawlers, Monitoring, Data Modeling, Financial Accounting, Financial Transactions, Hugging Face, Temporal, MinIO, Infrastructure as Code (IaC), Infrastructure as a Service (IaaS), HIPAA, Computer Vision, Automated Driving
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