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Konstantin Gizdarski

Software Engineer, Machine Learning Platform

San Francisco Bay Area

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Konstantin Gizdarski's Email Addresses & Phone Numbers

Konstantin Gizdarski's Work Experience

Lyft

Software Engineer, Machine Learning Platform

San Francisco, California

Konstantin Gizdarski's Education

Northeastern University

M.Sc. and B.Sc., Computer Science

2013 to 2018

The London School of Economics and Political Science (LSE)

Study Abroad, Econometrics, Statistics

2015 to 2015

Peking University

Study Abroad, Chinese Culture and Architecture

2014 to 2014

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Konstantin Gizdarski's Estimated Salary Range

About Konstantin Gizdarski's Current Company

Lyft

Focused on building distributed systems that power AI/ML across the company (inference, experimentation, feature computation and serving, training, model lifecycle management, orchestration).Led one of the highest visibility projects (multi-tenant platform attribution) at Lyft in 2020 — presented at Kubecon San Diego 2019. Contributor on several projects related to optimizing workload scheduling, building service-resource knowledge graph, observability, workflow...

Frequently Asked Questions about Konstantin Gizdarski

What company does Konstantin Gizdarski work for?

Konstantin Gizdarski works for Lyft


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Konstantin Gizdarski is Software Engineer, Machine Learning Platform


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Konstantin Gizdarski's colleagues are Christian Delahousse, J. Sunday, Ben Lee, Johnny Sparks, Lili Shi, Yi Lu, Tirth Pandya, Bobby Rasmusson, Kevin Stewart, and Carolyn Crimi


About Konstantin Gizdarski

📖 Summary

Software Engineer, Machine Learning Platform @ Lyft Focused on building distributed systems that power AI/ML across the company (inference, experimentation, feature computation and serving, training, model lifecycle management, orchestration).Led one of the highest visibility projects (multi-tenant platform attribution) at Lyft in 2020 — presented at Kubecon San Diego 2019. Contributor on several projects related to optimizing workload scheduling, building service-resource knowledge graph, observability, workflow orchestration, and applied machine learning.Interview 100+ candidates and travel to ~every major engineering office as of 2019. San Francisco, California


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Konstantin Gizdarski's Personality Type

Introversion (I), Intuition (N), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

Konstantin Gizdarski's Willingness to Change Jobs

Unlikely

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