Data ScientistToronto, Canada

Dr. Priya Narang

Senior ML Engineer & Researcher

Read my papers

Statement

Applied ML researcher turning messy data into deployed models. I work on recommendation, forecasting, and the unglamorous MLOps that keeps them alive in production. PhD in ML, allergic to hype.

+7.2%

Conversion ↑

11

Publications

40ms

p99 latency

3B

Daily candidates

About

My PhD was on sequence models for healthcare time series — which taught me that the model is the easy part. The hard part is the data pipeline, the evaluation that doesn't lie to you, and the deployment that survives contact with reality. I've since built recommendation and forecasting systems serving millions of users, and I've learned to be deeply suspicious of any metric that only improves offline. I publish when the work is genuinely new, and I ship when it genuinely helps.

Works

Practice

Applied ML across recommendation, forecasting, and healthcare — research to production

2021 – Present

Senior ML Engineer

Shopify

Lead the recommendation ranking team. New two-tower model lifted conversion 7.2% and GMV measurably.

2019 – 2021

ML Scientist

Layer6 AI

Built demand-forecasting systems for retail clients; reduced forecast error (sMAPE) by 18%.

2018

Research Intern

Vector Institute

Sequence modelling for clinical time series.

Education

PhD, Machine Learning — University of Toronto 2019

B.Tech, Computer Science — IIT Delhi 2014

Expertise

PyTorch · Python · Recommendation Systems · Forecasting · MLOps · Spark · Feature Stores · A/B Testing · Causal Inference

Résumé

Words

“Priya's instinct for what will actually move the metric — not just the loss curve — is unmatched. The ranking win was one of the biggest of the year.”
James Liu, Staff ML, Shopify

Recognition

  • 3 papers at NeurIPS / ICML workshops
  • Reviewer, NeurIPS & ICLR
  • 1.8k⭐ on forecast-kit
  • Patent: adaptive ranking (pending)
Shopify Engineering — Rebuilding recommendations with a two-tower model

Let's talk.

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