Develop world-class document AI technology powering the core of the Fetch app used to extract information from +10 million receipts in real-time every day. Fetch’s largest product launch to date.

Pre-training and fine-tuning of large language models (LLMs), vision encoder-decoders, and graph neural networks.

Build out data labelling and collection efforts from the ground-up to support computer vision and large language modelling efforts.

Tech lead for team of 15+ scientists.

Document AI and Graph ML

Look inside the books of some of the largest financial institutions in the world to estimate damages and predict the performance of complex financial instruments leading to the largest and most severe banking crises, securities fraud, and market-meltdowns humans have witnessed.

Build probabilistic financial models using advanced techniques including Markov chain Monte Carlo methods, random matrix theory applications, and stationary time-series forecasting.

Identify, explain, and value litigation involving mortgage-backed securities (RMBS), collateralized debt obligations (CDOs), swaps, and other derivatives underpinning trillions of dollars in assets.

Provide evidence and economic investigation for Fortune 500 companies, SEC, DOJ, and FINRA.

Design and evaluation of demand-side management programs, including a $600k+ randomized control trial on smart thermostat direct load-control.

Forecast electric vehicle diffusion, demand elasticity, and electrification for budgeting hundreds of millions of dollars under diverse energy industry clients’ management.

Design difference-in-difference models, demand-elasticity programs, and causal inference mechanisms to provide gold-standard reporting to regulators and operators responsible for most of the United States energy supply.

Lead a project investigating optimal advertising strategies for an online retailer by supplementing web analytics and operations resources to perform novel Geo-spatial analysis, market research, and ultimately lead generation.

Build internal dashboards for a boutique wealth advisory firm using R and Shiny to help advisors aggregate and contextualize regulatory stances during bear-markets.