Open to Work

AI Lead &
Agentic Systems
Engineer.

Building bleeding-edge AI platforms, real-time voice agents, and hyperpersonalized systems for 8+ years.

Meet Alejo AI

Have a conversation with my digital twin powered by agentic AI.

Alejo Perez portrait photo

About Me

Born and raised in Spain, I pursued biomedical engineering at Universitat Politècnica de Catalunya, where I discovered the power of AI through a deep learning research project at Hospital Clínic de Barcelona. That spark led me to Sweden, where I earned an MSc in Statistics & Machine Learning at Linköping University. Today I help companies build AI-powered products — from agentic systems and real-time voice agents to LLM platforms — combining 8+ years of hands-on engineering with a deep curiosity for what's next.

Trajectory

Uniplay Learning

AI Lead – Agentic Systems

2024 – PresentStockholm (Remote)

Architected and led full ownership of AI agentic features and real-time voice agents for interactive microlearning scenarios with live evaluation feedback. Designed LLM-agnostic, fault-tolerant AI platforms spanning backend services, memory systems, and gamification.

Scania

ML Engineer / Intrapreneurship Program

Nov 2022 – PresentStockholm, Sweden

Developed enterprise AI Assistant leveraging LLMs and agentic workflows, boosting developer productivity by 10%. Won a special prize at the Innovation Factory Hackathon, earning a position in Scania's intrapreneurship program. Explored and prototyped LoadMatch, a load-matching venture to reduce empty mileage, as part of the intrapreneurship program utilizing Snowflake + Spark.

Huawei Sweden

Data Scientist – Master Thesis (Honors)

Jan 2022 – Jul 2022

Researched predictive models for 5G wireless channels using probabilistic and deep learning approaches.

Hospital Clínic de Barcelona

Deep Learning Research – CV

2019 – 2020

Reduced diagnosis time by 30% via deep learning preprocessing pipelines for CNN-based cancer cell classification. Bachelor thesis paper selected for the CASEIB Biomedical Engineering Congress.

Academic

Linköping University

MSc Statistics & Machine Learning

2020 – 2022 • Sweden

Universitat Politècnica de Catalunya

BSc Biomedical Engineering

2015 – 2020 • Spain

Capabilities

AI & ML

TensorFlowMLFlowAgentic SystemsLLM-agnostic PlatformsLive Voice AgentsVector DBsRAG

Engineering

PythonTypeScriptNext.jsReact NativeNode.jstRPCEffectKafkaPostgreSQLRedisNeo4jSnowflakeDockerTerraformAWSAzuren8nFirecrawlCI/CD

Projects

1/2

Expiria

A smart expiry-tracking app powered by multimodal LLMs. Snap a photo of your groceries and let AI extract expiration dates, suggest recipes before food goes bad, and reduce waste. Built end-to-end with a React Native frontend, Node.js backend, Prisma ORM over SQLite, and multimodal LLM pipelines for image understanding.

React NativeNode.jsPrismaSQLiteMultimodal LLMs
Expiria screenshot

Let's Collaborate

Book a session on my calendar to discuss AI architecture, agentic systems, or your next big idea.

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