my work
world labs
i worked on text-to-image pre-training for atlas, world labs' omni world model for spatial intelligence.
supply chain state machines for llms
manufacturing and supply chain aren't seeing the same lift from ai that we're seeing in other industries. part of this is fragmented systems, messy reality, and culture. the other part is that llms need complete and up-to-date context to assist in decision-making: a persistent state built for llm readability that provides llms with the context they need to outperform human decision-making in asset allocation. i'm building it now!

A distributor wants an extra 174,530 units of SOS001L12P within 7 days. Can we take it without going short?
Yes, we can take it. SOS001L12P never goes short: 36,096 available, about 7.1 days of cover, and group S has about 315 tons a day spare.
Before you confirm: this uses all of group S’s spare capacity for the first six days, and SOP001L12P and SOS008L02P already owe more than they have in stock.
llm interpretability
amazon
amazon's sortation directive signal system is a system of sensors and signals that direct warehouse associates to move packages from the warehouse conveyor system to the appropriate delivery sorting conveyor. i designed, built, and launched the configuration system that modifies these directive signals, in java on aws (lambda, dynamodb, cloudwatch, s3), now active in amazon fulfillment centres worldwide.


compilers
trading
jobs
- 2016 – 2018pickering
metroland mediapaperboy
- 2021quebec
l'amhirondelledaycare
- 2021quebec
les loisirs de st. gervaiscamp counsellor - 2022pickering
claremont nature centrecamp counsellor
- 2023
interacsoftware developer interntoronto
- 2024waterloo
equitarytech for vc startup
- 2024
electric mindconsulting interntoronto
- 2025
openai / mercorinterpretability analystremote
- 2025toronto
- 2026
theory venturesengineering internsf
- 2026sf
