Inigo Unanue
NLP EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Natural Language Processing Researcher
Kaixo! ("Hello" in Basque) I am a passionate data scientist and natural language processing (NLP) researcher, a proficient Python programmer and AWS machine learning specialist. Currently I work at RoZetta Technology, a Sydney based company focused on providing big data management and analytics solutions in various domains and with over 20-year experience in financial market data. I work on the design and development of data engineering and machine learning pipelines to help generate valuable data assets and actionable insights. In addition, I am an Adjunct Researcher at the University of Technology Sydney (UTS), where I collaborate with Prof. Massimo Piccardi's NLP research group and co-supervise PhD students. I have publications in top NLP conferences and journals (e.g. TACL, ACL, NAACL , COLING, PAKDD, IEEE TAI). Previously I obtained a PhD in machine learning and NLP at UTS (2020) and a degree in Telecommunications Systems Engineering at the University of Navarra, Spain (2016).
University of Technology Sydney
Doctor of Philosophy (Ph.D.), Machine Learning and Natural Language Processing
January 1, 2017 – January 1, 2021
University of Michigan
Exchange Program - 2015 Fall semester, Computer Science
January 1, 2015 – January 1, 2015
University of Navarra
Degree in Telecommunications Systems Engineering, Undergradued
January 1, 2012 – January 1, 2016
University of Technology Sydney
Postdoctoral Research Fellow
June 1, 2025 – Present
Sendatu Therapeutics
Co-Founder
February 1, 2024 – Present
Sydney, New South Wales, Australia
University of Technology Sydney
Adjunct Fellow
November 1, 2020 – June 1, 2025
RoZetta Technology
Data Scientist and NLP Researcher
July 1, 2020 – June 1, 2025
Sydney, New South Wales, Australia
UNSW
Casual tutor at the Univerity of New South Wales
June 1, 2018 – October 1, 2018
Sydney, Australia
University of Technology Sydney
PhD Student in Machine Learning and NLP
January 1, 2017 – November 1, 2020
Capital Markets CRC Limited
NLP researcher
July 1, 2016 – June 1, 2020
Sídney y alrededores, Australia
IXYS San Sebastian
Internship - Design of a Configurable Matching Network for the 2.4GHz band
June 1, 2015 – July 1, 2015
Zuatzu street, 3, 20018 Donostia - San Sebastian, Gipuzkoa
CEIT
Internship - Fostering Talent Program - Energy Harvesting
May 1, 2015 – June 1, 2015
Miramon Technological Park
RDF and SPARQL Essentials
Udemy
June 24, 2026 – Present
ML Pipelines on Google Cloud
Coursera
June 24, 2026 – Present
Think Like A Relevance Engineer - Elasticsearch/Solr
OpenSource Connections
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Graph Analytics for Big Data
Coursera
June 24, 2026 – Present
Machine Learning Engineering for Production (MLOps) Specialization
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Bayesian Methods for Machine Learning (with Honors)
Coursera
June 24, 2026 – Present
Certificado Verificado de edX para el curso Enabling Technologies for Data Science and Analytics: The Internet of Things
edX
June 24, 2026 – Present
EGA
Eusko Jaurlaritza
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with some entrepreneurial experience. This profile aligns well with roles requiring deep technical expertise, innovation, and problem-solving. However, the lack of diverse industry projects or explicit team-based software development experience might indicate a potential gap in fitting into a fast-paced, product-focused engineering culture without a strong research component. The target role of 'NLP Engineer' suggests a need for both research and implementation skills, which the candidate's profile supports, but the balance between the two is not fully clear.
Soft Skills & Operational Fit
The candidate's experience as a tutor and co-founder suggests leadership, communication, and problem-solving skills. The research background implies strong analytical capabilities and a structured approach to complex problems. However, specific operational fit details are limited without direct project descriptions or team collaboration examples.