Amelia Bruno

New York, NY · hey@ameliabruno.me

English (native) · French (C1)

linkedin · 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

Hybrid, New York · Oct 2022 – Feb 2025

  • Delivered end-to-end document-understanding projects for enterprise clients on 3–6 month engagements. Owned the full lifecycle: OCR, model fine-tuning on client data, LLM pipeline design, validation, and production integration.
  • Fine-tuned deep learning extraction models on client datasets for structured KYC document classes (paystubs, leases, IDs) used by financial institutions
  • Built LLM-based pipelines for summarization and field extraction over high-variance unstructured documents (legal proceedings, insurance policies, claims)
  • Designed integration pipelines using SQL and JSON that digitized documents, extracted structured fields, and injected them into matched upstream records
  • Representative clients: financial institutions (KYC), car-sharing companies (driver onboarding), reinsurance corporations (claims)

Solutions Architect · Plotly

Hybrid, Montréal · Nov 2021 – Oct 2022

  • Delivered interactive data dashboards for enterprise clients on 2–4 month engagements. Stack: Python, SQL, Redis, JavaScript, CI/CD on GitHub.

Software Engineer · Cerence

Remote, Montréal · Feb 2021 – Nov 2021

  • Engineered core platform microservices for an automotive AI-assistant product. Stack: Python, Protobuf, CI/CD on GitLab.

SKILLS

AI/ML: LLM application development (OpenAI, Anthropic, open-weight models), prompt engineering, RAG, deep learning model training and fine-tuning, MLOps, OCR and document understanding, evaluation pipelines

Languages: Python (primary), SQL, Julia (research), some JavaScript

Infrastructure: Protobuf, CI/CD (GitHub Actions, GitLab CI), SQL databases, cloud-deployed model serving

PUBLICATIONS

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