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Schedule Interview NowGeorge I. AI, Python and Full-Stack Development
My name is George I. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Web Application, React, Next.js, MongoDB, Python, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Customized model, Custom AI Chatbot, Interior Design Configuration system, CABN Exterior Painting Configurator. I am based in Barcelona, Spain. I've successfully completed 4 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
Main technologies
AI, Python and Full-Stack Development
2 years
Lovable AI
1 Year
AI Development
1 Year
Langchain
1 Year
Additional skills
- Lovable AI
- AI Development
- Langchain
- Bolt AI
- Langgraph
- AI Chatbot
- AI
- Python
- Fullstack
- AI Engineering
- Artificial Intelligence
- Automation
- AI Agent Development
- n8n
- AI Model Development
- Prompt Engineering
- NLP
Direct hire
Potentially possible
Previous Company
IBM Spain
Experience Highlights
Customized model
Built an immigration-law RAG bot last year with LangChain JS + Pinecone, cutting hallucinations by a lot through hybrid search & prompt tuning. For yours, I’d integrate intent classification early in the pipeline, so prompts hit Mistral with max context every time. For factuality, I’d wire LangChain as the middleware between Twilio and Mistral, implement intent recognition via OpenAI function calls or custom classifiers, then feed results through a RAG pipeline hitting the vector DB. Let’s lock in the design and get your smarter bot shipped.
Custom AI Chatbot
Tailored chatbots built to automate customer service, improve engagement, and boost efficiency across platforms like your website or social media channels.
Interior Design Configuration system
This is an interior design system based on WebGL configuration. Smooth looking around feature by camera switch, a texture configurator system, a realistic environment supporting system, etc
CABN Exterior Painting Configurator
This is an exterior design system based on WebGL configurator. Smooth orbit control feature by camera switch, a texture configurator system, a realistic environment supporting system, etc.
Education
University of Santiago de Compostela
Bachelor of Computer Science (BCompSc) in Computer science
2000-01-01-2004-01-01
Languages
- English
- Spanish
Github