John Guerrero - AI/ML Engineer

Q: Where is John based?

John is based in Stockholm, Sweden .

Q: What languages does John speak?

John speaks the following languages: Swedish (Advanced), English (Intermediate) .

Q: How many years of experience does John have?

John has at least 9 years of experience. During this time, John has worked in at least 5 different roles and for 4 different companies . The average length of individual experience is 2 years and 10 months . Note that John may not have shared all experience and actually has more experience.

Q: What is John's latest experience?

John's most recent position is AI/ML Engineer at SoluLab .

Q: What companies has John worked for in recent years?

In recent years, John has worked for SoluLab and Andersen Lab .

Q: Which industries is John most experienced in?

John is most experienced in industries like Information Technology and Banking and Finance .

Q: Which business areas is John most experienced in?

John is most experienced in business areas like Information Technology , Operations , and Research and Development . John also has some experience in Business Intelligence and Product Development .

Q: Which industries has John worked in recently?

John has recently worked in industries like Information Technology and Banking and Finance .

Q: Which business areas has John worked in recently?

John has recently worked in business areas like Information Technology , Operations , and Research and Development .

Recommended expert

Stockholm, Sweden

Check rate

Experience

Jan 2023 - Present

3 years 7 months

San Francisco, United States

AI/ML Engineer

SoluLab

Developed a production multi-agent AI orchestration service (FastAPI, Anthropic Claude) for hotel staff operations, integrating WhatsApp/Telegram messaging, tool-based Laravel API automation (task creation, cab booking, escalation routing), and PostgreSQL-backed conversational memory on Google Cloud Run.
Designed and built a LangGraph-based multi-agent system with specialized domain agents, shared graph/vector memory, HITL controls, and FastAPI/React stack to automate cross-functional business workflows from vision intake to PDF report delivery.
Engineered an end-to-end RAG-MCP pipeline for a DeFi Risk Agent, enabling real-time estimation of Ethereum wallet risk by integrating transaction history, balances, and multi-protocol active positions.
Migrated a legacy monolithic web-scraping pipeline to a microservices architecture using AWS SNS/SQS, Lambda, ECS, and Fargate, significantly improving reliability, scaling behavior, and parallel ingestion throughput.
Utilized LangChain, LangGraph, and several LLMs to power agent reasoning, planning, and tool execution, ensuring robustness and adaptability under changing conditions.
Built a reinforcement learning trading environment using OpenAI Gym, applying Direct Preference Optimization (DPO) to refine model behavior and boost decision accuracy in LLM-driven agents.
Evaluated RAG pipeline performance using RAGAS and implemented A/B testing for online evaluation, enabling continuous improvement of retrieval quality and generation fidelity.
Leveraged AWS SageMaker, Lambda, and Step Functions for scalable ML training and deployment, ensuring reproducible workflows, low-latency inference, and automated pipeline orchestration.

Aug 2020 - Dec 2022

2 years 5 months

London, United Kingdom

Data Engineer / Software Engineer

Andersen Lab

Architected and implemented large-scale ETL/ELT data pipelines for ingestion, transformation, and enrichment of multi-source datasets, powering downstream machine learning models and analytics platforms.
Designed scalable data storage and processing solutions using AWS EC2, RDS, Redshift, S3, and Glue, ensuring high availability, cost efficiency, and optimized query performance for batch and streaming workloads.
Developed and optimized RESTful APIs in Python, enabling seamless interaction between microservices, data pipelines, and real-time processing systems.
Collaborated closely with data scientists to productionize machine learning models, building feature pipelines, model-serving endpoints, and monitoring workflows to support data-driven decision-making.
Led legacy system modernization efforts, migrating on-premise data infrastructure to cloud-native architectures using Docker and Kubernetes for containerization, orchestration, and autoscaling.
Implemented advanced data analytics and statistical techniques (PCA, feature normalization, correlation analysis, hypothesis testing) to support dimensionality reduction, anomaly detection, and feature engineering in ML workflows.
Built interactive data visualizations and dashboards using Tableau, Power BI, and Python (Plotly/Matplotlib), translating complex data patterns into actionable insights for business stakeholders.

Jul 2019 - Jul 2020

1 year 1 month

Stockholm, Sweden

Software Engineer

Archr

Led the development of Archr's sustainability scoring SaaS platform end-to-end, building a production UI (React.js) and backend services (Python/FastAPI) used by commercial brands.
Designed a distributed microservices architecture using Docker and Kubernetes, enabling scalable ingestion of product data and parallel execution of sustainability scoring models.
Implemented CI/CD pipelines using Cloud Build and GKE, reducing deployment friction and accelerating feature delivery velocity.
Integrated core GCP services for production workloads:
Cloud Storage as primary data lake for ingestion artifacts and LCA datasets
Cloud Functions for compute triggers and event-based batch workflows
Cloud SQL (PostgreSQL) for transactional storage and metadata retrieval
Developed a full sustainability scoring pipeline with normalization logic, LCA-based metrics, and internal scoring algorithms using Python, Pandas, SciPy.
Built a responsive analytics dashboard (D3.js, Chart.js) allowing brands to visualize impact breakdowns, track improvements, and embed sustainability scores into e-commerce stores.
Collaborated with domain experts to translate environmental and LCA standards into reusable scoring modules, enabling consistent lifecycle evaluation across product catalogs.

Oct 2017 - Jun 2019

1 year 9 months

Sweden

Full Stack Developer

Unit4

Led development of dynamic, high-performance front-end applications using React, Redux, and TypeScript, delivering seamless user experiences across multiple features and product workflows.
Architected and implemented scalable RESTful APIs using Node.js, Express, and MongoDB within a microservices-based architecture, ensuring high throughput and maintainability.
Integrated GraphQL with Apollo Client/Server, reducing over-fetching, improving data access efficiency, and simplifying client-server communication patterns.
Developed server-rendered React applications using Next.js, improving SEO performance, reducing page load times, and enhancing conversion rates for e-commerce platforms.
Containerized services with Docker and orchestrated deployments using Kubernetes, streamlining CI/CD, improving system reliability, and enabling predictable scaling across environments.
Engineered cloud-native solutions on AWS, leveraging Lambda, S3, RDS, and related services to achieve high availability, fault tolerance, and cost-efficient infrastructure operations.

Jun 2017 - Oct 2017

5 months

Sweden

Intern Software Developer

Unit4

Contributed as a key member of the engineering team in building an internal, scalable web application used across multiple departments.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology and Banking and Finance.

Information Technology

Banking and Finance

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Operations, Research and Development, Business Intelligence, and Product Development.

Information Technology

Operations

Research and Development

Business Intelligence

Product Development

Summary

I'm an Al Software Engineer with deep experience building production-grade LLM systems, multi-agent pipelines, and large-scale data/ML workflows across Web3, finance and e-commerce, sustainability, and enterprise platforms. Alongside my ML expertise, I bring strong software engineering fundamentals-designing full-stack applications, microservices architectures, and high-performance APIs that power real-world products. With solid DevOps and cloud experience across AWS and Kubernetes, I consistently deliver scalable, secure, and end-to-end Al solutions that integrate seamlessly into production environments.

Skills

Ai/Machine Learning

Llms
Multi-Agent Systems
Rag Pipelines
Langchain / Langgraph
Mlops
Rlhf / Dpo
Model Serving
Vector Databases
Feature Engineering
Ensemble Forecasting (Lstm, Arima, Prophet)
Risk Scoring Systems
Embeddings
Knowledge Distillation
Nlp
Prompt Engineering

Backend & Software Engineering

Python
Fastapi
Node.Js
Express.Js
Microservices Architecture
Rest / Graphql
Websocket Services
Api Design Standards
Feature Flagging
High-Scale Request Handling
Caching Strategies
Server-Rendered Apps (Next.Js)
Authentication & Oauth
Design Patterns

Data Engineering & Analytics

Etl / Elt Pipelines
Data Modeling
Data Normalization & Cleaning
Batch & Streaming Processing
Apache Kafka
Sql Optimization
Statistical Analysis (Pca, Correlation, Tests)
Tableau
Power Bi
Data Warehouse Design
Data Lake Architectures
A/B Testing
Experimentation Frameworks

Cloud, Devops & Infrastructure

Google Cloud Platform (Gke, Cloud Run, Bigquery, Cloud Storage, Pub/Sub, Vertex Al For Model Deployment)
Aws (Lambda, Ecs, Fargate, S3, Rds, Redshift, Glue, Sagemaker, Step Functions)
Kubernetes
Docker
Ci/Cd (Github Actions)
Serverless Architectures
Terraform (Infra-As-Code)
Autoscaling & Load Balancing
Observability (Prometheus, Grafana)

Languages

Swedish

Advanced

English

Intermediate

Education

Oct 2011 - Jun 2017

Stockholm University

Master's degree · Computer Science · Stockholm, Sweden

Statistics

Experience

Total positions 5

Experience in Information Technology 9 y

Avg length 1 y 9 m

Longest experience 3 y 6 m

Global Experience

Countries worked in 3 (Sweden, United States, United Kingdom)

Primary country Sweden

Expertise

Recent roles AI/ML Engineer, Data Engineer / Software Engineer, Software Engineer

Main industries Information Technology, Banking and Finance

Main business areas Information Technology, Operations, Research and Development

Qualifications

Highest degree Master

Profile

Created

June 2026

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Frequently asked questions

Have questions? Find more information here.

Where is John based?

John is based in Stockholm, Sweden.

What languages does John speak?

John speaks the following languages: Swedish (Advanced), English (Intermediate).

How many years of experience does John have?

John has at least 9 years of experience. During this time, John has worked in at least 5 different roles and for 4 different companies. The average length of individual experience is 2 years and 10 months. Note that John may not have shared all experience and actually has more experience.

What roles would John be best suited for?

Based on recent experience, John would be well-suited for roles such as: AI/ML Engineer, Data Engineer / Software Engineer, Software Engineer.

What is John's latest experience?

John's most recent position is AI/ML Engineer at SoluLab.

What companies has John worked for in recent years?

In recent years, John has worked for SoluLab and Andersen Lab.

Which industries is John most experienced in?

John is most experienced in industries like Information Technology and Banking and Finance.

Which business areas is John most experienced in?

John is most experienced in business areas like Information Technology, Operations, and Research and Development. John also has some experience in Business Intelligence and Product Development.

Which industries has John worked in recently?

John has recently worked in industries like Information Technology and Banking and Finance.

Which business areas has John worked in recently?

John has recently worked in business areas like Information Technology, Operations, and Research and Development.

What is John's education?

John holds a Master in Computer Science from Stockholm University.

What is the availability of John?

The availability of John needs to be confirmed.

What is the rate of John?

John's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.