• built a timeseries forecasting platform and data analysis tool, used for financial forecasts of >$30B in transactional volume more info

• data engineering on large-scale enterprise projects (billions of rows, petabytes of transactional data)

• 4 paper publications

  • The State of the Art of Large Language Models on Chartered Financial Analyst Exams
    (EMNLP Industry 2024)

  • Can GPT Models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on Mock CFA Exams
    (FinNLP @ IJCAI 2024)

  • MACQ: A Unified Library for Action Model Acquisition
    (KEPS @ ICAPS 2022)

  • MACQ: A Holistic View of Model Acquisition Techniques
    (demo @ ICAPS 2022)

• wrote a foundational open-source library for (AI) planning research MAcq

• teaching APSC 143: Intro to Programming @ Queen's University (fall 2024)

  

• Bachelor of Computer Science + Masters in Applied Science (AI)

• have been writing code for 12 years, 2 years professionally

Experience

Software Engineer @  RedBit Development Jul 2023 - present

• lead for all AI and general PoC projects
• AI applications using computer vision, NLP & LLMs, timeseries forecasting
• writing data transfer/cleaning tools, APIs, and managing databases
• some clients: Second Harvest, Evans Supply, RSG International, Print Geek, New Brunswick Pipe Trades

Instructor @  Queen's University Aug 2024 - Dec 2024

• teaching APSC 143: Intro to Programming @ Queen's University (fall 2024)

  

Software Engineer @  Praxis Pioneering Jun 2022 - Aug 2022

• built a platform for data analysis and model testing for timeseries forecasting, used for financial forecasts of over $30B in transactional volume
• saved over $200M in potential lost revenue for a client through improvements to key forecasting models
• built performant automated data pipelines for massive databases (billions of rows, petabytes of transactional data)

Research Intern @  Mu Lab May 2021 - Sep 2021

• wrote an open-source library for planning action model acquisition.
• 2 papers published @ ICAPS 2022 (demo and KEPS) as first author
• designed intuitive data models for every part of planning (traces, actions, fluents, tokenizers, etc) and bidirectional PDDL translation
• implemented theoretical model acquisition algorithms from research papers
• created powerful data visualization tools for trace and model understanding