Javier Chiyah-garcia
AI Research Engineer at Electric Twin
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolJavier Chiyah-garcia is an AI research engineer with a PhD in conversational AI and nine years of experience building and deploying LLMs and VLLMs for grounded, multi-modal reasoning and embodied interaction. He has led end-to-end experiments from hypothesis to large-scale evaluation, producing first-author publications and applied solutions at Amazon Alexa AI and industry partners like SeeByte and Siemens. His core strengths include learning-from-human-feedback (SFT, RLHF, DPO) under noisy, limited data and fine-grained visual grounding for interactive instructions in dynamic environments. Javier combines academic rigor with production chops—designing scalable in-context adaptation methods validated on AWS and creating benchmarks to measure how VLLMs learn from corrective feedback. Based in Edinburgh, he pairs deep transformer expertise (PyTorch, HuggingFace) with hands-on robotic and simulated system work (Unity, Gazebo), often surfacing subtle failure modes through adversarial evaluation.
9 years of coding experience
3 years of employment as a software developer
Heriot-Watt University Edinburgh CampusHogar Escuela M. A.
English, Spanish
Github Skills (55)
odk10
project-management10
bug-tracker10
python10
crm10
accounting10
integrations10
retail10
solace10
localization10
agile-development10
oms10
planning10
asset-management10
itil9
Programming languages (3)
Github contributions (5)
JChiyah/crwiz
Dec 2019 - May 2021
Contributions:2 releases, 7 commits, 5 pushes in 1 year 5 months
JChiyah/exploring-mm-in-simmc2
Dec 2021 - Nov 2022
Code and models for the paper 'Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge' published at AAAI 2022 DSTC10 Workshop
Contributions:1 release, 1 PR, 3 pushes in 11 months
pytorchmulti-modalmodalambiguity-resolverrepresentations
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