About me

As a Senior AI Engineer, I build production LLM and voice AI systems end to end — from real-time voice agents to agentic and RAG applications, along with the backends and cloud infrastructure that keep them reliable. I thrive in collaborative environments, contributing significantly to team success and fostering a positive work culture.

I find it instructing and entertaining to make side projects on my own, so make sure to visit my portfolio section down below!

When I'm not working, I'm either playing music or doing outdoor activities like bungee jumping, climbing, paddle boarding, etc ...

I also love photography, so make sure to check out my Instagram photography channel.

My latest Resume: Preview

This was AI generated 😏

Technical Skills

AI & Machine Learning

LLMs Generative AI NLP Computer Vision PyTorch Transformers Agents RAG Voice AI LLM Evals

Engineering

Python FastAPI Docker AWS Google Cloud Airflow React / TypeScript C# / .NET Angular Mobile (React Native)

Research

Variational Autoencoders Spiking Neural Networks Ontology Integration Feature Engineering

Work Experience

Inulti

  • Building production real-time voice AI agents for inbound sales calls (LiveKit + SIP telephony, Deepgram STT, OpenAI LLM, ElevenLabs TTS), with sub-second turn latency, warm transfer to human agents, and PCI-safe payment capture over voice and phone keypad.
  • Delivered end-to-end an LLM retention platform on AWS: AI-drafted SMS replies with safety guardrails and human-in-the-loop review, a CRM over ClickHouse, and LLM-as-judge and synthetic-call eval harnesses gating every prompt and model change.
  • Python
  • Voice AI
  • LiveKit
  • LLM Agents
  • FastAPI
  • React/TypeScript
  • AWS
  • Docker

Tekever

Engineered an end-to-end data pipeline that automatically creates Jira tickets from Signal chats. Implemented a conversation clustering algorithm using semantic similarity and temporal analysis, leveraging LLMs to generate structured ticket data.

  • Python
  • Airflow
  • Docker
  • LLMs
  • Google Cloud Platform

Sorcero

Led AI R&D for a Natural Language Understanding platform for unstructured medical data. Key contributions: generative AI theme tagging, NER, summarization, recommendation systems, and a custom neural search engine with Retrieval-Augmented Generation (RAG) and Agents.

  • Python
  • NLP
  • PyTorch
  • SpaCy
  • Transformers
  • FastAPI
  • Docker
  • Google Cloud Platform

Accenture

Development of a tool that uses Data Analysis, Clustering, Topic Modelling and other NLP algorithms on problem descriptions from ticketing systems to improve ticket resolution.

Development of NLP tagging service to infer people's skills and interests for an employee selection tool.

  • Python
  • NLP
  • Scikit-Learn
  • NLTK
  • Spacy
  • Plotly/Matplotlib

Smartloto S.L.

Development of an end-to-end image validation system of lottery tickets using Deep Learning at scale on Google Cloud Platform, Android and IOS.

  • Python
  • Flask
  • Computer Vision
  • TensorFlow
  • Tensorflow Lite
  • Google Cloud Platform
  • Android/Java
  • IOS/Swift
  • C#

Education

Valencian International University

Master's degree in Artificial Intelligence with a final grade of 8.55.

Technological University of the Shannon, Athlone Campus

Erasmus experience in AIT (Athlone Institute of Technology), Ireland.

University of Alicante

Bachelor's degree in Computer Science, part of the High Academic Performance group. Achieved a final grade of 7.43.

Projects

Research & Patents

Research