TYLER EVANS

ac9vqp@r.postjobfree.com

204-***-****

***Experience***

Laivly, Winnipeg, MB

Junior Machine Learning Engineer ML Team May 2019 – Present

• Reduced number of NLP models per tenant from 30 to 2; Retained F1 score by designing a custom architecture

• Enabled team of 10 to deploy models in production by designing serving code, preprocessing & model interfaces

• Reduced code duplication by proposing & developing features for a package used to bring experiments into production

• Eliminated model deprecation by introducing Docker containers to make experiments reproducible and scalable

Laivly, Winnipeg, MB

Junior Software Developer ML Team May 2018 – May 2019

• Achieved 15% increase in classification accuracy by scaling preprocessing pipeline to support 3X more features

• Increased training efficiency by leveraging transfer learning; Utilized a pretrained transformer network

• Attained >90% accuracy detecting actionable points in emails by compiling a balanced training set of 1M samples

• Reduced complexity & runtime by refactoring core data preprocessing logic with compact NumPy & Pandas routines

Invenia, Winnipeg, MB

Junior Software Developer Labs Team May – Sept. 2017

• Identified supply and bid curve patterns using unsupervised learning on hundreds of thousands of transactions

• Forecasted demand of nodes in an electricity network by using SQL and Julia to combine multiple data sources

• Presented insights to teams of researchers by creating a pipeline to scrape, analyze, and visualize millions of logs

University of Manitoba, Winnipeg, MB

Undergraduate Researcher NSERC Award May – Sept. 2016

• Made the concept of measure zero more intuitive by creating visualizations of recursively constructed sets

***Skills***

Languages: Proficient in Python; Experienced with SQL, Julia, Java; Familiar with JavaScript, C/C++, R

Data & Machine Learning: Keras, TensorFlow, PyTorch, NumPy, pandas, scikit-learn, Matplotlib, NLTK

Other: Git, Jupyter, Colab, Docker, Unix/Linux, AWS (EC2/Lambda/S3/SageMaker), Bash, OpenGL

***Projects***

Facial Recognition App – High School Mentorship Program

• Taught CS and ML concepts while creating a computer vision model to serve real-time in an Android app

• Compressed image classification model ~60% by using model quantization, pruning, and TensorFlow Lite

Takuzu Puzzle Solver

• Simplified variable space from O(n2) to O(n) by formulating an efficient problem representation

• Solved using AC-3 algorithm and depth first search of the constraint graph by reducing branching factor to binary

***Education***

University of Manitoba, Winnipeg, MB

B.Sc. Honours in Computer Science – Mathematics Sept. 2014 – June 2019

• Graduated above the 98th percentile of the class; Four-time President’s Scholar

• Bernard Noonan Memorial Prize for high standing in an honours program

• Philosophia Mathematica Prize in Applied Mathematics to the top 3rd year math student

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