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I'm Pablo, a mathematician and ML engineer based in Malaga, Spain. I design end-to-end data-driven forecasting and optimization solutions, from data ingestion and feature engineering to production deployment, with a focus on neural and statistical forecasting at daily, weekly, and hourly granularity. I enjoy collaborating across teams, mentoring new graduates, and using AI tools to accelerate research, code generation, and problem solving, while building secure, scalable cloud infrastructure with Terraform and CI/CD pipelines.…I'm Pablo, a mathematician and ML engineer based in Malaga, Spain. I design end-to-end data-driven forecasting and optimization solutions, from data ingestion and feature engineering to production deployment, with a focus on neural and statistical forecasting at daily, weekly, and hourly granularity. I enjoy collaborating across teams, mentoring new graduates, and using AI tools to accelerate research, code generation, and problem solving, while building secure, scalable cloud infrastructure with Terraform and CI/CD pipelines.

Pablo Flores Fernandez

Musician, AI Engineer, Data Scientist, +2

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I'm Pablo, a mathematician and ML engineer based in Malaga, Spain. I design end-to-end data-driven forecasting and optimization solutions, from data ingestion and feature engineering to production deployment, with a focus on neural and statistical forecasting at daily, weekly, and hourly granularity. I enjoy collaborating across teams, mentoring new graduates, and using AI tools to accelerate research, code generation, and problem solving, while building secure, scalable cloud infrastructure with Terraform and CI/CD pipelines.…I'm Pablo, a mathematician and ML engineer based in Malaga, Spain. I design end-to-end data-driven forecasting and optimization solutions, from data ingestion and feature engineering to production deployment, with a focus on neural and statistical forecasting at daily, weekly, and hourly granularity. I enjoy collaborating across teams, mentoring new graduates, and using AI tools to accelerate research, code generation, and problem solving, while building secure, scalable cloud infrastructure with Terraform and CI/CD pipelines.

Available to hire

I’m Pablo, a mathematician and ML engineer based in Malaga, Spain. I design end-to-end data-driven forecasting and optimization solutions, from data ingestion and feature engineering to production deployment, with a focus on neural and statistical forecasting at daily, weekly, and hourly granularity.

I enjoy collaborating across teams, mentoring new graduates, and using AI tools to accelerate research, code generation, and problem solving, while building secure, scalable cloud infrastructure with Terraform and CI/CD pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Spanish; Castilian

Advanced

Work Experience

Machine Learning Engineer at Solved by AI

January 1, 2024 - Present

Lead end-to-end PoC-to-production forecasting for retail clients in Python: data ingestion, EDA, cleaning, and feature engineering through to deployment; train and tune Neural Forecast and Stats Forecast models to predict SKUs, revenue, and footfall at daily, weekly, and hourly granularity, incorporating special-event calendars and exogenous signals to capture external demand drivers. Design and manage AWS cloud infrastructure using Terraform (IaC) across EC2, Lambda, S3, and CloudWatch; reduced the cost of the most expensive product by ~70% through spot instance implementation with auto scale-out and fault monitoring. Contribute to a Python-based mathematical optimization model for scheduling and resource allocation, combining integer programming and heuristics with ML, taking solutions from research through to production at scale. Build and maintain GitLab CI/CD pipelines with automated testing and structured code reviews; author Open API specifications and JSON schema to enforce con