Zoe Weil

Member

i Members

Apr 2024 - Current (2 years 4 months)

3i brings engaged private investors together to source opportunities, share expertise and build value for one another that goes far beyond the deal.

Co-Founder/CEO

Sequen

Jan 2024 - Current (2 years 7 months)

Were hiring!!! https://www.sequen.ai/careers The first Behavior Design Engine for the enterprise. Sequen isn’t retrofitted AI search or recommendations. It rethinks relevance from first principles. Sequen introduces the first foundational Large Event Model (LEM), trained on billions of user event sequences and built natively on a reinforcement learning infrastructure. LEMs are specialized neural networks that predict the next user event—just as LLMs predict the next word. Sequen’s LEMs are pre-trained on billions of user-site interactions and fine-tuned to optimize for the outcomes you care about. No more fixed pipelines with fragmented infrastructure. Sequen replaces them with a single endpoint that adaptively handles all phases of pe

Angel Investor

Jan 2024 - Current (2 years 7 months)

Personal Investor/Shareholder in: Inboundr AI Hyperparam Tough Day Eden Labs Starcycle Adaption Polymathic

LP | Advisor

Blue Tulip Ventures

Jan 2024 - Mar 2024 (3 months)

Advisor at Blue Tulip Ventures, guiding investments in virtual humans and AI clones to shape a future where technology augments human potential.

Staff Applied Scientist

Etsy

Aug 2020 - Dec 2023 (3 years 5 months)

* Led overall ML strategy for Etsy’s QU initiative; pioneered work on adoption of SOTA LM/ Transformers; Led AML Labs NLP reading group * Query Labeler – Led the development of Query Classification platform powering Broad/Direct query classification + mature query classification * Lingo –Led the design/research/development/implementation/launch of Lingo, the first intelligent Query Suggestion system at Etsy and first LLM fine-tuned on Etsy data. Lingo also served as a proven foundational blueprint to other projects from other teams including SM and Recsys + wins * TGen – Led design, architecture generative model/platform for user/listing/query feature generation this project also contributed 4 of the most powerful features to Etsy’s first

Machine Learning Advisor

Risalto Health

Jul 2020 - Jan 2023 (2 years 7 months)

Co-Founder

Mindful Machines

Oct 2018 - Aug 2020 (1 year 11 months)

Invited to speak at several international conferences throughout the world including:

Chief Scientist — Artificial Intelligence

Risalto Health

Mar 2018 - Jul 2020 (2 years 5 months)

• Build an entire deep learning platform from scratch using a combination of custom and open-source libraries with Scala, MxNet, Sockeye • Implemented a series of state-of-the-art, deep transformer/LLM models (BERT, roBERTa, Reformer) from research papers into testing and later as a full-suite product to predict a patient’s risk requiring future medical treatments such as surgery. • Design, architect, deploy, an end-to-end reporting platform using python, pweave, scikit-learn, numpy, and airflow for rapid research and testing of business hypothesis • Built DevOps infrastructure in terraform for running and scaling ML/DL on AWS

D

Data and Semantic Analysis - Tech Lead

DRESR Inc bought by Google

Sep 2016 - Mar 2018 (1 year 7 months)

• Architect, design, build entire Healthcare Data Pipeline end-to-end using AWS, RabbitMQ, Scala, and Postgres • Design and implement security layers for data pipeline using Vault • Introduce the use of a SemanticDB in conjunction with new-style Scala Macros to remove boilerplate and reduce the size of the codebase • Architect streaming context-based recommendations using kafka

Head Engineer, Machine Intelligence

Komodo Health

Jul 2015 - Jul 2016 (1 year 1 month)

• Architect, design, build an intelligent and adaptive learning system that predicts and improves patient adherence to medication (Scala, Spark, Airflow) • Architect, design, build an Entity Resolution system to resolve relationships in a universe of doctors using public and proprietary data (Scala, Spark, Kubernetes, Airflow)

Lead Machine Intelligence Engineer

HookLogic Inc Acquired by Criteo in

Oct 2013 - Jul 2015 (1 year 10 months)

• Build and lead a team of five Data Scientists • Devolop, meta-optimize and implement machine learning algorithms (Hadoop/Hive/Scala) to predict Conversion Rate and Click-Through Rate across advertisers/publishers • Utilize Akka Actors and message-based concurrency to reduce costs of computation while training and testing data over large datasets (scala) • Determine equations for significance testing • Deploy live machine learning quality score models and analyze their performance (Scala, Java EE, Oozie, AWS) • Perform A|B tests on live models • Re-write feature-building code for our machine learning framework to help us better understand and dissect model performance • Architect, design, and build an end-to-end taxonomy recommendation eng

About

Detail

Timeline

Résumé