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Staff AI / Machine Learning Software Engineer | machine learning / AI, model pipelines and agents, cross-functional collaboration | I help architect, build, and deploy data and model pipelines.
I build machine learning models and pipelines to ensure product and client success (internal or external). Contact me if you are interested in someone with an interdisciplinary background (PhD 2009) or if you just want to chat about Tech, Machine Learning, AI, Life, the Universe, and everything. My interdisciplinary background plus my 8+ years in industry means I an extremely suited to solve problems by building and leading teams to build effective products and features for customers while eliminating pain points for internal data and model pipelines decreasing costs and increasing efficiency. I specialize in: - Taking large ambiguous problems and producing and deploying solutions - Data Science, Machine Learning, and Software Engineering - NLP, CV, Entity Matching, Outlier Detection, etc. - Data cleaning, processing, and transforming for analyses and machine learning that exceed expectations
Colorado School of Mines
Ph.D. in Applied Physics
N/A – Present
New Mexico Institute of Mining and Technology
Bachelor of Science in Physics (Minors: Math & Mechanical Engineering)
N/A – Present
University of Exeter
International Exchange
N/A – Present
Archera
Staff Data Scientist
September 1, 2024 – Present
Remote
Apptio, an IBM Company
Staff AI/ML Software Engineer
January 1, 2024 – June 1, 2024
Raleigh-Durham-Chapel Hill Area
Phenom
Principal Machine Learning Engineer
June 1, 2021 – September 1, 2022
Remote · Remote
TIBCO Software Inc.
Machine Learning Engineer | Architect
June 1, 2018 – June 1, 2021
Chapel Hill, NC · Hybrid
Narvar
Data Scientist
August 1, 2017 – March 1, 2018
San Fransisco · On-site
Slice Technologies, Inc
Data Scientist
July 1, 2016 – August 1, 2017
San Mateo, CA
Insight Data Science
Fellow | Data Science
September 1, 2015 – July 1, 2016
Palo Alto California
Independant Researcher
Independant Researcher
November 1, 2014 – August 1, 2015
Netherlands
Binghamton University
Research Associate
November 1, 2012 – October 1, 2014
Binghamton, NY
École nationale supérieure de chimie de Paris
Post-doctoral researcher
January 1, 2012 – October 1, 2012
http://iopscience.iop.org/0953-8984/25/48/485005/
LETI
Post-Doc
January 1, 2010 – December 1, 2011
Colorado School of Mines, Physics Department
Graduate Student / Research and Teaching Assistant
August 1, 2004 – December 1, 2009
Golden, Colorado
Sandia National Laboratories
Risk Analysis Summer Intern
January 1, 1999 – January 1, 2004
Cultural Fit Analysis
The candidate's diverse experience across various companies (Archera, Apptio, Phenom, TIBCO, Narvar, Slice) and roles (Data Scientist, ML Engineer, Architect, Staff, Principal) suggests adaptability and a broad understanding of different organizational cultures and technical challenges. Their involvement in a 'diversity working group' also indicates a potential alignment with inclusive workplace values. The progression through senior roles demonstrates a commitment to growth and leadership.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Staff, Principal, Architect), team collaboration (leading cross-functional teams, consulting with AI teams, training new teams), and initiative (developing specifications, creating new systems). These indicate strong operational fit and soft skills for a senior ML Engineer role, including mentorship and strategic thinking.