Patrick Halina

Engineering Manager

Toronto, Ontario, Canada18 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led ML team at Pinterest for shopping AI.
Developed scalable ML systems at Zynga.
Expert in big data and machine learning infrastructure.

Stackforce AI infers this person is a Machine Learning Engineering expert in E-commerce and Gaming industries.

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Skills

Core Skills

Machine LearningSoftware EngineeringBig Data

Other Skills

JavaSparkAirflowNLPPyTorchDeep Reinforcement LearningTensorFlowGoAWSStatistical ModelingC++PythonRStatisticsProgramming

About

ML Engineering Manager at Pinterest working on applying AI to shopping. Formerly at Zynga and Amazon.

Experience

2 roles

Engineering Manager

Promoted

Sep 2021 – Present · 4 yrs 6 mos · Toronto, Ontario, Canada

I lead Pinterest's Shopping Content Mining team and act as Pinterest's engineering site rep. My team uses ML to extract product data from merchant webpages to power Pinterest's shopping catalog. We own a high scale end to end ML system:
data workflows built with Spark and Airflow
High scale distributed ML inference service built in Java. This extracts data from all HTML pages crawled by Pinterest
In house labelling tools built with React, these are used by a team of labelling contractors I manage
Research and develop of ML algorithms to extract data, we have our own proprietary algorithm implemented in Java. We're also researching deep learning solutions using advances in NLP using PyTorch.
ML Ops systems to detect, triage and track data quality errors
We measure Pinterest's shopping data quality using human in the loop systems

Machine LearningJavaSparkAirflowNLPPyTorch+1

Staff ML Engineer

Nov 2020 – Sep 2021 · 10 mos · Toronto, Ontario, Canada

Working on applying AI to Pinterest’s shopping efforts.

Zynga

3 roles

Software Architect/Manager, ML Engineering

Promoted

Oct 2018 – Nov 2020 · 2 yrs 1 mo · Toronto, Canada Area

I lead the ML Engineering team at Zynga. We work on lots of cool things!
Deep Reinforcement Learning to perform AI based personlizations with Tensorflow
Real time model inference service
Tools for our Data Scientists to productionize ML systems
A highly scalable, low latency feature store service

Deep Reinforcement LearningTensorFlowMachine LearningSoftware Engineering

Principal Software Engineer, Analytics

Aug 2017 – Oct 2018 · 1 yr 2 mos · Toronto, Canada Area

Developing big data and machine learning infrastructure for mobile analytics.

Big DataMachine Learning

Senior Engineer, Analytics

Dec 2014 – Aug 2017 · 2 yrs 8 mos · Toronto, Canada Area

Developed user data service in Go, deployed in AWS
Developed ML infrastructure to train and deploy models with Spark

GoAWSSparkSoftware EngineeringMachine Learning

Qoints

Lead Engineer

Jan 2014 – Jan 2014 · 0 mo

Amazon

Software Development Engineer

Jun 2012 – Aug 2014 · 2 yrs 2 mos

I work for the customer marketing analytics team. I architect and develop big data modeling and feature engineering workflows. I also perform data exploration and statistical model development for customer based data.

Big DataStatistical ModelingSoftware Engineering

University of toronto

Teaching Assistant

Jan 2011 – Jan 2012 · 1 yr

Vennsa technologies, inc

Programmer

May 2007 – Sep 2011 · 4 yrs 4 mos · Toronto, Canada Area

Programmed using C++, Python, tcl/tk and R.

University of toronto terrence donnelly centre for cellular and biomolecular research

Bioinformatics Programmer

May 2006 – Sep 2006 · 4 mos · Toronto, Canada Area

Developed a computer program in C++ to analyze mass spectrometry results. Coauthor of research paper "Sequential Interval Motif Search: Unrestricted Database Surveys of Global MS/MS Data Sets for Detection of Putative Post-Translational Modifications "

C++PythonRSoftware Engineering