Amelia Bruno

New York, New York · hey@ameliabruno.me

English (native) · French (fluent)

github

EDUCATION

McGill University

Ph.D., Computational Linguistics (2015–2019) — unfinished: M.A. awarded

  • Supervisor: Prof. Timothy O'Donnell
  • GPA: 3.96 / 4.0
  • Thesis: Variational Bayesian Inference for Unsupervised Induction of Minimalist Grammars
  • Research in applied mathematics and probabilistic modeling for formal grammar induction
  • Implementations in learning and inference algorithms in Julia

University of Toronto

Honours B.Sc., Computer Science and Linguistics (2010–2015)

  • GPA: 3.22 / 4.0
  • Double major with elective focus on theoretical CS (logic, complexity, computability), formal linguistics (syntax, semantics), and mathematics (linear algebra, abstract algebra, number theory, statistics)
  • One-year software development internship between the third and fourth years

PROFESSIONAL EXPERIENCE

Solutions Engineer · Instabase, New York

Hybrid · Oct 2022 – Feb 2025

  • Delivered end-to-end document-understanding pipelines for enterprise clients (3–6 month engagements), spanning model training, MLOps, data analysis, and client system integration
  • Fine-tuned deep learning document-extraction models on client-provided datasets; for highly structured document classes, fine-tuned models outperformed LLM-based approaches in field extraction accuracy
  • Built LLM-based pipelines for summarization and field extraction on less structured, high-variance documents; LLM approaches were significantly faster to implement and matched deep learning accuracy
  • Conducted formal comparative evaluation of LLM-based vs. deep learning extraction approaches, assessing accuracy alongside implementation cost
  • Designed SQL database integration pipelines to digitize documents, extract structured fields, and inject into matched upstream records
  • Developed internal tools, scripts, and notebooks in Python

Representative client work: KYC document processing, employee intake workflows, claims processing for insurance/reinsurance.

Solutions Architect · Plotly, Montréal

Hybrid · Nov 2021 – Oct 2022

  • Delivered interactive enterprise dashboards using Plotly Dash
  • Built client-facing marine engineering interface with 3D model viewer and interactive property charts integrated to upstream parts database
  • Stack: Python, SQL, Redis, JavaScript; CI/CD on GitHub; containerized deployments with Docker

Software Engineer · Cerence, Montréal

Remote · Feb 2021 – Nov 2021

  • Engineered platform components of automotive AI-assistant product, including REST API design and internal SQL database integration
  • Python; CI/CD on GitLab

SKILLS

Backend engineering · REST API design · SQL and NoSQL databases · Data science and visualization · Deep learning (training, fine-tuning, MLOps) · LLMs and prompt engineering · Python · JavaScript · Julia · Docker · CI/CD

PUBLICATIONS

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