T.J. Trimble

EXPERIENCE

2017-07-17 — Present

PRO Unlimited @ Facebook

Linguistic Tools Engineering Lead

Tools development:
- CLI tools for ontology development, guidelines management, annotation quality, data quality, and model metrics in Python
- Web-based tools for annotator training, inter-annotator agreement, and annotation visualization in PHP/Hack and JavaScript/React.
Development leadership:
- Managed two direct reports and the software tasks of seven computational linguists, organizing projects and workloads, and providing technical leadership and mentorship.
- Coordinated with other teams, built internal and external relationships, and developed individuals’ skills.
- Consulted on contracts for Quality Assurance and technical requirements.
Dialogue Agent Semantics:
- Worked closely with client to develop schema, ontology, and guidelines for tree-based, task oriented semantic annotation from model inception through product delivery of Facebook Portal.
- Managed annotators and data for quality data deliverables.
- Coordinated work across the product pipeline, connecting disparate product development cycles and organizing work to connect critical ontological ideas and infrastructure.
Hiring and onboarding:
- Created and developed hiring goals, job postings, core competencies, and interview questions for technical and non-technical roles in collaboration with key stake holders and peers.
- Conducted and reviewed dozens of interviews.

2015-04-06 — 2016-10-07

FirstRain, Inc.

Natural Language Processing Engineer

Information Extraction: Owned and improved an Information Extraction engine processing thousands of documents every day, built on top of Stanford’s TokensRegex system.
Entity Linking: Designed, developed, and deployed a system matching named entities with topics over 100,000 documents per day.

EDUCATION

University of Washington 2012-09-24 — 2014-12-05

Master of Science - Computational Linguistics

Thesis: Extended the Grammar Matrix, an open source grammar engineering project using HPSG, to enable the morphological, syntactic, and semantic analysis of adjectives cross-linguistically.

Natural Language Processing: tokenization, POS tagging, chunking, parsing, word sense disambiguation, sentiment analysis, coreference resolution, etc. using FSA/FSTs, CKY, etc.

Machine Learning: classification, clustering, and sequence labeling using Neural Networks (DNN, CNN, RNN, etc.), Naïve Bayes, MaxEnt/Logistic Regression, K-means, etc.

SKILLS

Natural languages: English (native), French (intermediate), Japanese (beginner), Italian (beginner)

Programming languages: Python (7 years), JavaScript/React (7 years), PHP/Hack (8 years), Java (5 years)

NLP Packages (4 years): nltk, coreNLP

NLP/Machine Learning Software Packages (2 years): TensorFlow, NumPy

VCS (8 years): git, svn, mercurial

IDE (6 years): Atom/Nuclide, Eclipse