Tiago Travanca
ML EngineerMachine Learning Engineer at LinkedIn
LinkedIn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer at LinkedIn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hello, I'm Tiago, I have a master's in computer engineering (major in AI with focus on NLP/ML and a minor in software engineering). I have experience in both industry and academia. Fast learner and passionate about problem solving in general, with particular interest in the areas of natural language processing, machine learning, algorithms, and related areas.
Instituto Superior Técnico
Machine Learning and Natural Language Processing Summer School
January 1, 2016 – January 1, 2016
Instituto Superior Técnico
Master of Science (MSc), Information Systems and Computer Engineering
January 1, 2011 – January 1, 2013
Instituto Superior Técnico
Bachelor of Science (BSc), Information Systems and Computer Engineering
January 1, 2007 – January 1, 2011
Machine Learning Engineer
February 1, 2020 – Present
County Dublin, Ireland
Unbabel
Senior Research Engineer
June 1, 2018 – January 1, 2020
Lisbon, Portugal
IBM Watson
NLP and ML Engineer
October 1, 2015 – May 1, 2018
Greater Dublin
Banco de Portugal
Data Engineer
January 1, 2015 – October 1, 2015
Banco de Portugal
Systems Engineer
May 1, 2014 – January 1, 2015
L2F
NLP Researcher
September 1, 2011 – June 1, 2013
Lisboa, Lisbon, Portugal
SINFO - Semana Informática do IST
Organizer
June 1, 2010 – June 1, 2011
Lisboa, Lisbon, Portugal
STRING
January 1, 2011 – January 1, 2013
My contribution involved developing a Verb Sense Disambiguation (VSD) module for the STRING pipeline. the module used a hybrid of automatically generated rules based on linguistic resources and machine learning (MaxEnt classification).
Deep Learning Specilization
Coursera
June 24, 2026 – Present
Machine Learning Stanford University
Coursera
June 24, 2026 – Present
First Certificate in English
Cambridge English
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from large corporations (LinkedIn, IBM) to startups (Unbabel) and public institutions (Banco de Portugal), indicating adaptability. The involvement in an academic research project (L2F) and organizing a student event suggests a proactive and collaborative mindset. The breadth of roles (ML Engineer, Research Engineer, Data Engineer, Systems Engineer) shows versatility, though the target role is specific to ML. The project diversity and continuous learning (certifications) suggest a growth-oriented individual.
Soft Skills & Operational Fit
The candidate's experience as an 'Organizer' for SINFO suggests organizational and communication skills. The descriptions of roles at IBM Watson and Banco de Portugal indicate problem-solving, analytical thinking, and collaboration (e.g., proposing architectural changes, evaluating current designs). The automation of evaluation metrics into CI build processes at IBM Watson shows an understanding of operational efficiency and MLOps principles.