Aurimas Griciūnas

Senior Solutions Architect

SwirlAI

Driving MLOps, Data Engineering and Machine Learning industry forward by helping professionals Level Up in these disciplines.

Founder & CEO

neptune.ai

Chief Product Officer

Head of Product

Driving MLOps industry forward by helping Neptune customers succeed in adopting MLOps best practices.

Transactie Monitoring Nederland (TMNL)

- Contributed to the development of end-to-end Machine Learning platform capabilities in a highly secure environment.
 - Focused on leveraging AWS SageMaker and supporting AWS services to enable scalable experimentation and model deployment.
 - Collaborated with the team to build reusable template libraries, streamlining the process of running ML experiments and deploying models efficiently and securely.

Senior MLOps Engineer

HomeToGo

- Led cross-functional teams of Cloud Engineers and Data Platform Engineers, driving key infrastructure and data initiatives.
 - Spearheaded a company-wide Cloud-Native Transformation initiative to modernize applications and infrastructure.
 - Championed the migration to Infrastructure as Code (IaC), standardizing infrastructure provisioning using Terraform for improved scalability, consistency, and automation.

Data Architect / Data Platform & Cloud Engineering Lead

- Led a Team of Data Engineers.
- Led a Team of Data Platform Engineers.
- Initiated and led a successful company wide Cloud Native Transformation.
- Migrated entire Data Platform Stack to Kubernetes. This included:

        - Airflow.
        - Superset.
        - Spark.
        - MLFlow.
        - Flink.
        - Airbyte.
        - DataHub.

- Introduced first Stream Processing applications that moved some of the Data Warehouse Processing stages upstream the pipeline.

Senior Data Engineer / Data Platform Team Lead

- Led a team of Data Engineers.
- Initiated and led a Data Warehouse migration from Redshift to Snowflake effort. It also included a refactoring of the Data Model.
- Oversaw Data migration from a Druid cluster to Redshift and later Snowflake.
- Introduced and rolled out Machine Learning Experiment Tracking System.
- Deployed and maintained first on-prem Kubernetes Clusters in the company.

Senior Data Engineer / Team Lead

- Led a successful implementation and optimisation of a custom Website Activity Tracking Ingestion Pipeline.
- Deployed and rolled out a company-wide Airflow Cluster.
- Led a full migration from Jenkins to Airflow for Data Engineering Pipelines.

Senior Data Engineer

Tesonet

Responsible for end-to-end development of ML-based products and big data solutions:

 - Identified business use cases suitable for machine learning and translated them into technical solutions.
 - Designed and implemented the full ML lifecycle, including data extraction, cleaning, validation, model training, packaging, and deployment.
 - Contributed to the architecture and development of scalable big data ingestion pipelines.
 - Set up and configured Kafka topics; developed real-time processing applications using Kafka Streams and Spark.

Senior Data Scientist/Engineer

Danske Bank

Projects I worked on:

-Affordability model enhancement using transaction data.
-Bringing transaction data into Balance Sheet stress-testing.
-Unlocking potential of transaction data throughout Risk Management function.
-Stress-testing of REA components and dynamic analysis on different credit portfolio levels.
-Process optimization and automation. Preparing models for production placement.

Senior Data Scientist/Analyst

Projects I worked on:

-Retail customer affordability project in Big Data analytics team.
-IFRS9 Life-time probability of default (LTPD) model development.
-IFRS9 Prepayment model development.
-IFRS9 impact on P&L analysis.
-IFRS9 and pre-IFRS9 ECL stress-testing and reporting.
-REA stress-testing and dynamic analysis on different credit portfolio levels.
-Process optimization by both improving old approaches and introducing new technologies.

Analyst

ADB Gjensidige

Was responsible for implementation of Solvency2 regulatory standards and providing required reports.

Actuary

Was responsible for generating business analysis reports for management.

Was responsible for calculation of Technical Reserves for Non-Life insurance products by applying different triangulation methods.

Junior Actuary

Follow me to learn about Data Engineering and ML Systems | Author of SwirlAI Newsletter | Public Speaker

Tired of all the noise surrounding AI space in recent years? Having a hard time keeping up with all of the news in the field and distinguishing what is really important? Follow me and subscribe to my newsletter to get actionable insights on building production ready AI Systems and keep track of only the important signal of what is happening in the AI world.

With over a decade of experience in Data Science, AI/ML Engineering, and MLOps, I’m also dedicated to helping practitioners level up their skills in MLOps, Data Engineering, Machine Learning, and related fields. I share my knowledge in a clear and accessible way to make learning straightforward and actionable.

If you want to partner with SwirlAI and get your product in front of 40K+ AI/ML/Data Engineers and Leaders via our Newsletter or 135K+ AI/ML/Data Engineers and Leaders via LinkedIn, contact me directly.

Leading Product Strategy.

TOON (Token-Oriented Object Notation) is out for some days now and it aims to make communication with LLMs more accurate and token-efficient.

The TOON topic is now one of the hottest news on the LLM market and it might actually matter.

𝗪𝗵𝘆 𝗜 𝘁𝗵𝗶𝗻𝗸 𝘀𝗼:

I was initially hesitant to cover this, potentially being another hype to quickly fade, but:

✅ The format has been shown to increase the accuracy of models while decreasing the token count. I was not sure if there were any accuracy retention studies made, it seems there were.
✅ Token efficiency is extremely important when working with Agentic Systems that require a lot of structured context inside of their reasoning chains. And we are moving towards a post-PoC world where there is a lot of emphasis placed on optimisation of the workflows.

𝗔 𝘀𝗵𝗼𝗿𝘁 𝘀𝘂𝗺𝗺𝗮𝗿𝘆:

- Token-efficient: typically 30-60% fewer tokens on large uniform arrays vs formatted JSON.
- LLM-friendly guardrails: explicit lengths and fields enable validation.
- Minimal syntax: removes redundant punctuation (braces, brackets, most quotes).
- Indentation-based structure: like YAML, uses whitespace instead of braces.
- Tabular arrays: declare keys once, stream data as rows.

An example:

𝘑𝘚𝘖𝘕 𝘧𝘰𝘳𝘮𝘢𝘵:

"shopping_cart": [
    { "id": "GDKVEG984", "name": "iPhone 15 Pro Max", "quantity": 2, "price": 1499.99, "category": "Electronics" },
    { "id": "GDKVEG985", "name": "Samsung Galaxy S24 Ultra", "quantity": 1, "price": 1299.99, "category": "Electronics" },
    { "id": "GDKVEG986", "name": "Apple Watch Series 9", "quantity": 1, "price": 199.99, "category": "Electronics" },
    { "id": "GDKVEG987", "name": "MacBook Pro 16-inch", "quantity": 1, "price": 2499.99, "category": "Electronics" }
  ]
}

𝘞𝘩𝘦𝘯 𝘦𝘯𝘤𝘰𝘥𝘦𝘥 𝘪𝘯𝘵𝘰 𝘛𝘖𝘖𝘕 𝘧𝘰𝘳𝘮𝘢𝘵:

shopping_cart: items[4]{id,name,quantity,price,category}:
    GDKVEG984,iPhone 15 Pro Max,2,1499.99,Electronics
    GDKVEG985,Samsung Galaxy S24 Ultra,1,1299.99,Electronics
    GDKVEG986,Apple Watch Series 9,1,199.99,Electronics
    GDKVEG987,MacBook Pro 16-inch,1,2499.99,Electronics

𝗥𝗲𝘀𝘂𝗹𝘁:

✅ 43% savings in token amount.
✅ Directly translates to 43% savings in token cost for this LLM input.

❗️ Be sure to know when NOT to use the format (and always test it for your application specifically):

- Deeply nested or non-uniform structures.
- Semi-uniform arrays.
- Pure tabular data.

ℹ️ I will be testing it in the upcoming weeks.

Let me know if you have already tested TOON and what are your takeaways! 👇

Founder @ SwirlAI • UpSkilling the Next Generation of AI Talent • Author of SwirlAI Newsletter • Public Speaker

𝗠𝗖𝗣 plus 𝗔𝟮𝗔, here is how they complement each other 👇

Protocol wars continue to rage, let's understand how Googles A2A (Agent2Agent) protocol is different from MCP and how they complement each other (read till the end).

𝘔𝘰𝘷𝘪𝘯𝘨 𝘱𝘪𝘦𝘤𝘦𝘴 𝘪𝘯 𝘔𝘊𝘗:

𝟭. MCP Host - Programs using LLMs at the core that want to access data through MCP.

❗️ When combined with A2A, an Agent becomes MCP Host.

𝟮. MCP Client - Clients that maintain 1:1 connections with servers.
𝟯. MCP Server - Lightweight programs that each expose specific capabilities through the standardised Model Context Protocol.
𝟰. Local Data Sources - Your computer’s files, databases, and services that MCP servers can securely access.
𝟱. Remote Data Sources - External systems available over the internet (e.g., through APIs) that MCP servers can connect to.

𝘌𝘯𝘵𝘦𝘳 𝘈2𝘈:

Where MCP falls short, A2A tries to help. In multi-Agent applications where state is not necessarily shared

𝟲. Agents (MCP Hosts) would implement and communicate via A2A protocol, that enables:

➡️ Secure Collaboration.
➡️ Task and State Management.
➡️ User Experience Negotiation.
➡️ Capability discovery - similar to MCP tools.

𝗛𝗼𝗻𝗲𝘀𝘁 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀:

❗️ Open protocols for Agent communication are important but they are just a piece of the picture, there will be a need for standards that govern all of the existing protocols and other missing pieces. E.g.

❓ How do we standardise tracing and Observability in multi-agent IOA systems?
❓ How do we retain the identity of the running job of an AI Agent instance if the communication standard is not unified in different parts of the pipeline?
❓ ... 

✅ More on this in my future posts, stay tuned!

Let me know your thoughts in the comments. 👇

Fujitsu

I work as a  Solutions Architect, Full Stack Developer and Data Engineer for one of the leading IT firm worldwide in CoE in Data Intelligence to build Big Data applications. I work with customers to enhance their business by building nice and robust data applications that help them improve their daily tasks. I design, implement and develop applications with integration of Big Data technologies. I develop unit tests for the verification of the developed code to identify and work on bugs of the application. I take care of end-to-end development of the functionalities included in specifications. And I am responsible for monitoring the releases defined under the Agile principles.

I am currently working as a Solutions Architect, specializing in both public and private Cloud Big Data, with a particular focus on the latter. My work involves the design and development of highly integrated and distributed Big Data environments, using dockerized microservices of various kinds, such as Python and especially Spring Boot. I manage Cloudera solutions, implement services for Machine Learning processes, and manage the complete lifecycle of continuous integration.

Big Data Solutions Architect && Senior Full Stack Engineer

AI-Network / Artificial Intelligence Association

Specialist in data and developer of machine learning applications (server and frontend): Mobile and web apps with machine learning and Natural language processing.
Member of AI Lab ÑLP (Spanish NLP) of AI Network: lab for models adaptation in different technologies and data architect.
Instructor in AI and Data: https://ai-network.teachable.com/p/ia-data-para-principiantes
Python for ML and Big Data instructor and creator of content: https://www.ai-network.org/python
ML mobile speaker: https://crisolia.com/eventos-ia/webinar-nlp
Teacher and Coach in AI-Network / Artificial Intelligence Association.
I teach new and advanced digital technology.
I offer personalized assistance and exclusive material to increase learning and find new jobs.

Big Data Engineer, Machine Learning developer, Instructor, creator of content and tech speaker

www.Jarroba.com

I create "Jarroba.com" brand, increase Website Traffic with SEO, design the interface with Responsive Design.

Extensive experience in modifying WordPress templates.

Management and analytical study with Google Analytics.

Knowledge about Spain and Eurepean's Internet Legal Frameworks Regulation .

Management of SQL databases and Linux server.

Writing and complete illustration of technical articles about computer engineering.

Coach of Front-End, Back-End, PHP, Java,  Mobile, agile methodologies, among others.

Co-Founder, Back-End and Front-End programmer, writer, Illustrator, Coach

Devo

Information architect and Management for POCs, Programmer Analyst, Software Engineer and Data Engineer.

Manage the pre-sales team to carry out technical proof of concepts (POCs) in the Professional Services department. I am involved in the full development with the back-end and front-end teams and the management of the company. Currently I work on the development of multiple proof of concepts at the same time. I develop Software for data products with different technical APIs (Zendesk, Datadog, New Relic, RabbitMQ, etc.), with many data representation and queries languages (SQL, LINQ, NRQL, JQL, API query system, etc.). The correct integration of the proof with the final product is also part of my job. As well as understanding the different departments and their implications with the product.

I work with agile technologies in large development multidisciplinary teams (As a Full-stack software development), and DevOps (Communication, Collaboration and Integration).

I develop my work in departments: Professional Services (I build systems for high quantity of information, vertical applications and Data Analysis), Customer Service (Meetings directly to the customer, and technical support) and Training (I design the students material, and teach to the customer and the new workers).

Programming with Python, Groovy and Node.js (Gulp, JavaScript, HTML, CSS) under Linux shell. For data I use proprietary technology. I work with LINQ and SQL. I need to work with servers load balancing for application high-availability.

To create code and maintain code quality I work with code reviews, diary meetings, task tracking, distribution of user stories. I am workflow manager with Azkaban to schedule different programs and scripts.

I use tools like Power BI to business intelligence and big data analysis. In addition to, Jira, Taiga (similar to Jira), Confluence, Zoho, Harvest, Zendesk, and others.

Programmer Analyst in IT Performance, Data Architect, Data Analytics and Business Intelligence

PlusNet Solutions

Developer for call center solutions and custom development. I work in the area of research and development (R&D, I+D in Spain) to expand the business area of the company.

Defining Back-End  and Front-End  prototypes with several technologies; as for example: Java EE (Spring, Maven, SonarQube, etc), Web (HTML5, CSS3, Javascript, Jquery, AngularJS, Responsive Design Websites), Server (Microsoft Server and Services, Jetty, Tomcat, Node.Js, Ajax, RESTful, Interconnection across servers, database management), with TDD (jUnit for Java EE; Protractor and Jasmine for Angularjs).

I programmed under Backbase for creating customer projects. In addition, I oversee the project and provide details of design, about the creation, development and maintenance of digital products.

Regarding consulting, I am also a consultant. I have the responsibility to go to the client to organize and assemble projects.

In relation to call center, I work like solutions developer with Avaya Aura Experience Portal (also I have experience with Avaya Proactive Outreach Manager, POM), and I worked with Java SDK to e-mail and phone channel communication in differents platforms.

R&D Programmer Consultant

Pixiepixel

I worked mainly as Android programmer. Besides that Back-End programmer. I programmed push notifications services, JSON and SOAP web services which are consumed by Android and iPhone Apps.

My experience is complemented by use or Integra architecture. I completed works on server side with the following technologies: Java Enterprise Edition, Spring, Maven, Oracle WebLogic Server, Jenkins, SonarQube, Repositorios Nexus, SOAP services, TDD (JUnit y Mocks), MyBatis, Hibernate.

In addition, I developed internal websites and http://www.mcr.com.es/, completely with the Symfony2 Framework. I used MVC, Beans, Twig, Composer and YAML. Due to this fact, I worked with PHP5, HTML5, CSS3 and Javascript.

Software Developer

Trazos

I taught Android programming classes, from basics to advanced. Explaining each concept for proper understanding, and guiding individually to each student.

I am writer of the notes with which I taught.

IT Teacher

The Fact

I worked for a year and a half as Android and Web (Back-End and Front-End) developer.

Regarding my work, I worked mainly as Android developer. I created and managed databases on server side; as well as push notifications and web services.

An example is the WTF! app (Downloadable from: https://play.google.com/store/apps/details?id=com.thefact.wtf&hl=es#!). Other were confidential business Apps.

Also, I was a database manager and CMS developer for multiple projects. Such as database, CMS, services, and blog for FungiNote App (Downloadable from: https://itunes.apple.com/es/app/funginote/id575908686)

I tried augmented reality for mobile.

Likewise, I supported the development of web pages (for example www.vibook.es) and another Apps (As such CreerMolApp https://play.google.com/store/apps/details?id=com.thefact.crecermolapp&hl=es#!). In addition to managing and controlling Linux dedicated servers.

I was JIRA manager. I was in charge of managing permissions and users. I managed projects with Scrum boards with Agile. I taught agile methodologies and JIRA.

To conclude, I worked with: Android, Linux Servers, PHP, HTML5, CSS3, JSP, JSON, JIRA.

Universidad Politécnica de Madrid

I worked both as intern and volunteer. I helped and collaborated in management of the university, providing scholarships, reporter, event organizer or teaching management. Also, I spoke on behalf of the students for their defense and agreements with different university departments.

Scholar

Banco Popular

I programmed on Visual Basic to automate reports.

Also, I managed reports and statistics.

Administrative and Software Developer

My experience is linked to the latest Big Data, Front-End and Back-End technology in desktops, mobiles and servers. My goals are to learn more about my skills, do projects with professionalism, grow as a person, and to go beyond with creative new developments.

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Aurimas Griciūnas

Ramón Invarato Menéndez

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