Senior Applied Machine Learning Software Engineer/Manager
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior engineer and technical leader with experience across machine learning, software systems, and engineering management. Strongest in ambiguous, high-stakes environments where teams need technical direction, experimental rigor, and practical execution. Known for designing decisive experiments, debugging complex technical failures, and translating between engineering, research, and product. Broad technical generalist who ramps quickly in new domains, builds evidence-based conviction, and helps teams avoid expensive dead ends.
The University of Georgia
Bachelor of Arts (BA), Interdisciplinary Studies (Artificial Intelligence)
January 1, 1994 – January 1, 1999
Orca DB
Principal Applied AI / Machine Learning Engineer
September 1, 2023 – Present
Boston, MA · Remote
Lightelligence
Principal Software Engineer / Manager
April 1, 2021 – September 1, 2023
Boston, Massachusetts, United States
Amazon
Software Engineer
July 1, 2020 – March 1, 2021
Catalant Technologies
Principal Software Engineer
December 1, 2019 – May 1, 2020
Greater Boston Area
Self-employed
Freelance Artificial Intelligence / ML consultant and Technical Editor
April 1, 2018 – December 1, 2019
Ephrata, Pennsylvania Area
Guidewire Software
Senior Machine Learning Engineer
August 1, 2012 – April 1, 2018
Foster City, CA
GMT Corporation / Verint
Senior Developer/Manager (Artificial Intelligence)
January 1, 2004 – August 1, 2012
GMT Corporation / Verint
Senior Developer (Artificial Intelligence)
January 1, 2002 – January 1, 2004
GMT Corporation / Verint
Developer (Artificial Intelligence)
October 1, 2000 – January 1, 2002
High Performing Systems
Application Developer
January 1, 1998 – January 1, 2000
Watkinsville, GA
Cultural Fit Analysis
The candidate has a long and varied career, including roles in startups, large corporations (Amazon, Guidewire), and freelance consulting. This diversity suggests adaptability to different organizational cultures and work environments. The focus on AI/ML across various industries (insurance, workforce optimization, customer data) indicates a broad interest in applying technical skills to diverse problems. However, the target role is 'Backend Engineer' while the recent experience is heavily skewed towards 'Applied AI / Machine Learning Engineer'. While there's backend engineering experience (FastAPI, asynchronous workers), the primary focus has shifted, which might require a re-evaluation of the exact cultural fit for a pure backend role without significant AI/ML components.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in technical teams, coordination across departments, and direct interaction with users and prospective customers. This indicates strong communication, problem-solving, and strategic thinking skills. The ability to drive technical pivots and manage R&D initiatives suggests a proactive and influential operational fit.