Alec Stashevsky

About Me

Technical leader with a track record of shipping machine learning / AI solutions at scale. I love building things people use, and I’m passionate about interdisciplinary research and application. Currently, I am leading teams working at the crux of computer vision, natural language understanding, and graph machine learning.

When I am not thinking about graphs and transformers you can find me snapping shots on my Yashica T4 Super D, hiking, and making pottery.

Interests
  • Graph Machine Learning
  • Search and Recommendation
  • Inequality and Development
  • Occult Economies
  • Place-making, Migration, Mobility
  • Spatial Politics
  • Anthropology
  • Decarbonization
Education
  • B.A., Mathematics-Economics

    Reed College

Publications

Experience

 
 
 
 
 
Fetch
Tech Lead Manager, Core Machine Learning
Oct 2022 – Present Los Angeles
Tech Lead Manager for core Document AI. We build ML/AI to power the Fetch app. Our systems extract information from +10 million receipts in real-time every day, and process over $150 billion in gross merchandise volume annually, and equivalent to the third largest retailer in the United States.

We build and deploy solutions touching computer vision, natural language processing, graph machine learning, semantic search, and entity resolution.

Lead partnerships with open-source and academic communities including Stanford University, Hugging Face, PyTorch, PyTorch Geometric, AWS SageMaker, and Streamlit.
 
 
 
 
 
Fetch
Machine Learning Scientist
Oct 2021 – Oct 2022 Los Angeles
Document AI and Graph ML
 
 
 
 
 
NERA Economic Consulting
Financial Economist
Sep 2020 – Sep 2021 New York City
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 responsible for high-profile banking crises, securities fraud, and market-manipulation cases.

Build probabilistic financial models using Markov chain Monte Carlo methods, random matrix theory, and 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 expert economic testimony for Fortune 500 companies, SEC, DOJ, and FINRA.
 
 
 
 
 
The Cadmus Group
Economist
Nov 2019 – Sep 2020 Portland, OR
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.
 
 
 
 
 
Kyrgies
Data Scientist
Aug 2017 – Oct 2019
Designed marketing mix models, audience creation, and targeted advertising solutions for a bootstrapped e-commerce startup.

Deployed recommendation systems and probabilistic engagement models (pCTR, pConversion) for targeted ads and notifications systems that led to 8% reduction in CAC.

Certifications

Coursera
Generative Adversarial Networks (GANs)
See certificate
Coursera
Machine Learning Engineering for Production (MLOps)
See certificate
Coursera
Machine Learning
See certificate
Coursera
Foundations for Big Data Analysis with SQL (with Honors)
See certificate
Coursera
Analyzing Big Data with SQL (with Honors)
See certificate
DataCamp
Introduction to Spark with sparklyr in R
See certificate
DataCamp
Support Vector Machines in R
See certificate
DataCamp
Introduction to Scala
See certificate

Tools I Use

Python
Python
Rlogo
R
snowflake
Snowflake (SQL)
pytorch
PyTorch
huggingface
Hugging Face
pyg
PyTorch Geometric
aws
Amazon Web Services
docker
Docker
git
Git
kafka
Apache Kafka
redis
Redis
airflow
Apache Airflow
mlflow
MLflow
sagemaker
AWS SageMaker
stata
Stata

Contact