Luke Lefebure
ML EngineerAI Forward Deployed Engineer at Databricks
Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Forward Deployed Engineer at Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer interested in Natural Language Processing (NLP) applications that help humans understand complex systems. I am highly versatile and have experience leading teams, interfacing directly with customers, and contributing across the stack from backend development to data management to training models.
Stanford University
Master's Degree, Statistics
January 1, 2015 – January 1, 2016
Stanford University
Bachelor of Science (BS), Mathematical and Computational Science
January 1, 2011 – January 1, 2015
Databricks
Staff AI Forward Deployed Engineer
July 1, 2025 – Present
Databricks
Staff Data Scientist
May 1, 2024 – July 1, 2025
Databricks
Senior Data Scientist
February 1, 2024 – May 1, 2024
Ontra
Senior Machine Learning Engineer
July 1, 2022 – September 1, 2023
San Francisco, California, United States
Primer.ai
Staff Machine Learning Engineer & Team Lead
August 1, 2021 – May 1, 2022
San Francisco, California, United States
Primer.ai
Senior Machine Learning Engineer
December 1, 2020 – August 1, 2021
San Francisco, California, United States
Primer.ai
Senior Machine Learning Engineer
September 1, 2019 – September 1, 2020
Primer.ai
Machine Learning Engineer
October 1, 2017 – September 1, 2019
SoundHound Inc.
Software Engineer, Data
August 1, 2016 – October 1, 2017
San Francisco Bay Area
Stanford University
Tutor
January 1, 2016 – June 1, 2016
Stanford, CA
Redfin
Data Analytics Intern
June 1, 2015 – September 1, 2015
Greater Seattle Area
mscripts
Data Science Intern
June 1, 2014 – September 1, 2014
San Francisco, CA
Chevron
Business Analyst Intern
June 1, 2013 – September 1, 2013
Concord, CA
Cultural Fit Analysis
The candidate has a strong background in AI/ML, working for companies like Primer.ai and Databricks, which aligns well with an ML Engineer role. The progression through various data science and ML engineering roles demonstrates adaptability and a continuous learning mindset. However, the lack of specific project details beyond role descriptions makes it challenging to fully assess diversity of experience and specific contributions to team culture. The focus on client-facing roles suggests a strong ability to translate technical concepts to business needs.
Soft Skills & Operational Fit
The candidate's career progression from ML Engineer to Staff AI Forward Deployed Engineer, including team lead responsibilities, suggests strong leadership, problem-solving, and client interaction skills. Experience in architecting end-to-end solutions and iterating with stakeholders indicates a proactive and collaborative operational fit. The role at Databricks as a Forward Deployed Engineer further emphasizes customer-facing technical expertise.