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Javier Asensio

Javier Asensio Gómez

Founder of Respondize · Building AI products for e-commerce

Built with
PythonPython
FastAPIFastAPI
LangChainLangChain
GCPGCP
FirebaseFirebase
DockerDocker

I left my AI role at a top Spanish bank to build Respondize full-time — a product that helps e-commerce teams handle customer support faster with AI.

from startup import Product, Ship   class Founder: name = "Javier Asensio" Building = "Respondize" mission = "AI for real operations" stack = [ "Python", "FastAPI", "LangChain", "GCP", "Docker", "Azure", ]   def build(self) -> Product: # Ship, learn, iterate return self.ship_product()
What I'm Building

Respondize

AI-powered customer support for e-commerce — the product I left my job to build.

🔍

The Problem

Small e-commerce teams spend hours answering the same customer emails every day.

Existing tools are either expensive, too generic, or simply don’t fit real workflows.

🛠️

What I Built

Respondize connects to Gmail and Shopify.

It reads emails, understands context (orders, history, policies),
and generates ready-to-send draft replies.

📈

The Impact

Up to 60% faster responses.

GDPR-compliant. Google CASA Tier 2 certified.

Built entirely by myself — from product to infrastructure to go-to-market.

The Path

How I Got Here

Engineering foundations → Applied AI in banking → Building my own product.

Founder
Respondize | 📍 Málaga · On-site
dic. 2024 – Present

Left my AI position at Bankinter to move back with my parents and go full-time on Respondize. Built the entire product from scratch — product design, LLM pipeline, cloud infrastructure, integrations, compliance, and go-to-market.

Core Impact
End-to-end product ownership — from idea to production
LLM pipeline with smart context extraction and tone matching
Scalable cloud backend on GCP with Firebase and FastAPI
Reduced client response time by up to 60%
GCPFastAPIFirebaseLangChainGenAIPython
Junior AI Analyst
Bankinter | 📍 Madrid · Hybrid
jun. 2024 – jun. 2025

Designed and deployed generative AI systems for one of Spain's leading banks, working with LangChain and Azure AI to automate internal workflows and enhance decision-making processes.

Core Impact
LangChain-based RAG pipelines for internal knowledge retrieval
Azure OpenAI integration for document analysis and NLP tasks
Collaborated with cross-functional teams on AI product strategy
Built an AI agent that autonomously generates risk assessment reports on SMEs, integrating financial data to support credit decision-making
LangChainAzure AIPythonNLPRAGAI Agents
Software Engineering Intern
NTT DATA Europe & Latam | 📍 Madrid · Hybrid
abr. 2023 – jun. 2023

Web development internship building internal tools and client-facing features using PHP, JavaScript, HTML and CSS within a large enterprise consultancy environment.

Core Impact
Built and maintained responsive web interfaces for internal tools
Collaborated in an Agile team following enterprise SDLC practices
Integrated REST APIs and third-party services
Gained experience in large-scale software development processes
PHPJavaScriptHTML5CSS3
My Story

From Engineering to Building

The short version: I saw a real problem, learned the skills to solve it, and left my job to build the solution.

Shopify

🎯 The Origin

Before entering the workforce, I ran a small dropshipping store.

Customer support by email quickly became a bottleneck.

Most emails were repetitive, but using templates alone was no longer enough.

The tools out there didn’t solve the problem — they were either too expensive, too generic, or disconnected from the real workflow.

Shopify
Bankinter

🛠️ Learning by Doing

I studied Computer Science at UC3M, did an Erasmus in ML, and later a Master’s in AI.

At NTT DATA, I learned how large organizations operate:
consulting, data, and structured execution.

Then at Bankinter, I built RAG pipelines and AI agents used in real operations.

That’s where I understood what useful AI really means, and realized I wanted to build something bigger than a comfortable corporate path.

Bankinter
Respondize

🚀 The Leap

While working at Bankinter, I started building Respondize on evenings and weekends.

When I saw real potential, I made a decision:
leave my job, move back home to Málaga, and go all-in on this opportunity.

The worst that could happen was to go back to the life I was already living.

Respondize
Wayra

🆕 Now

Today I’m living my dream, working 24/7 on a project I’ve built from scratch and fully committed to turning into a real company.

We already have our first users, and I’m focused on learning fast, improving the product, and solving the problem properly.

Being part of Wayra Telefónica’s incubator gave me access to other founders and a different way of thinking about how to build and take projects further.

Wayra / Telefónica
Looking Ahead

What I Want to Build Long Term

Respondize is my first real product, but it's part of a bigger picture. I want to build integrations and automations deeply embedded in real business operations — not chatbots put together in a couple of weeks, but complete systems that change from the ground up how teams work.

I'm interested in growing as a founder in high-density environments where I can learn from people who've done it before. I believe the best way to build great technology is surrounded by people who demand excellence — and who build with purpose, empathizing with the problem. Not just with ambition.

Project Archive

A curated list of my professional work and side projects.

6 total 1 featured

My Journey

Engineering foundations, applied AI in banking, and the leap to building my own product.

Founder
Respondize | 📍 Málaga · On-site
dic. 2024 – Present

Left my AI role at Bankinter to build Respondize full-time — a generative AI SaaS that automates customer support emails for e-commerce. Built the entire product solo: backend, frontend, AI pipeline, integrations, compliance, and go-to-market.

Core Impact
End-to-end product ownership — from idea to production
LLM pipeline with smart context extraction and tone matching
Scalable cloud backend on GCP with Firebase and FastAPI
Reduced client response time by up to 60%
GCPFastAPIFirebaseLangChainGenAIPython
Junior AI Analyst
Bankinter | 📍 Madrid · Hybrid
jun. 2024 – jun. 2025

Designed and deployed generative AI systems for one of Spain's leading banks, working with LangChain and Azure AI to automate internal workflows and enhance decision-making processes.

Core Impact
LangChain-based RAG pipelines for internal knowledge retrieval
Azure OpenAI integration for document analysis and NLP tasks
Collaborated with cross-functional teams on AI product strategy
Built an AI agent that autonomously generates risk assessment reports on SMEs, integrating financial data to support credit decision-making
LangChainAzure AIPythonNLPRAGAI Agents
Software Engineering Intern
NTT DATA Europe & Latam | 📍 Madrid · Hybrid
abr. 2023 – jun. 2023

Web development internship building internal tools and client-facing features using PHP, JavaScript, HTML and CSS within a large enterprise consultancy environment.

Core Impact
Built and maintained responsive web interfaces for internal tools
Collaborated in an Agile team following enterprise SDLC practices
Integrated REST APIs and third-party services
Gained experience in large-scale software development processes
PHPJavaScriptHTML5CSS3
Consulting Intern
NTT DATA Europe & Latam | 📍 Madrid · Hybrid
sept. 2022 – feb. 2023

During this internship, I worked on building analytical dashboards and identifying key pain points for clients related to operational inefficiencies, recurring issues, and lost time. I analyzed their data, highlighted improvement opportunities, and prepared insights to help them optimize their processes and make better decisions.

Core Impact
Built analytical dashboards to surface client operational inefficiencies
Identified recurring issues and pain points through data analysis
Prepared insights and recommendations to optimize client processes
Collaborated in a consulting team with Agile methodologies
AgileData AnalysisDashboardsBusiness StrategyCommunication

Education

MSc Artificial Intelligence
Universidad Europea de Madrid
oct. 2023 – jun. 2024
Deep Learning CNN NLP PyTorch Docker Project Management
BSc Computer Science (Bilingual)
Universidad Carlos III de Madrid
2018 – 2023
Algorithms Data Structures Java Python SQL Agile HTML5 JavaScript
Erasmus — Computer Engineering
INSA Rouen Normandie
sept. 2021 – jun. 2022
Machine Learning Computer Vision Python AI Transport Data Projects French
Let's talk.

I'm always open to conversations with founders, product people, and anyone building something real. Whether it's about Respondize, a startup opportunity, or just exchanging ideas — I'd love to hear from you.

Direct Channels

Availability & Context
Information to help us coordinate better.
Timezone
Europe/Madrid (GMT+2)
Response Time
Usually within 24 hours
Inquiry Types
Startup opportunities, founder conversations, product & AI discussions.