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Artificial Intelligence Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Multi-disciplinary engineer with interests in machine learning, particularly deep neural models and reinforcement learning, as well as electronic design, robotics, and agent-based simulation.
University of Florida
Doctor of Philosophy - PhD, Electrical Engineering
N/A – Present
University of Miami
Master of Science - MS, Electrical and Computer Engineering
N/A – Present
Chewy
Staff Machine Learning Engineer
March 1, 2023 – Present
Bellevue, Washington, United States
Third Wave Automation
Software Engineer
September 1, 2019 – February 1, 2023
Union City, California
Microsoft
Senior Machine Learning Scientist
April 1, 2018 – September 1, 2019
Redmond, Washington
MITRE
Lead Artificial Intelligence Engineer
December 1, 2004 – April 1, 2018
Mount Sinai Medical Center Miami Beach
Engineer
January 1, 2000 – January 1, 2000
Miami-Fort Lauderdale Area
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, AI, and Electrical Engineering, with significant experience in research and development. While there's some overlap with data analysis (SQL, Snowflake), the primary career trajectory appears to be in advanced ML/AI engineering and science. The target role of 'Data Analyst' might be a step down in terms of technical depth compared to their previous roles, potentially leading to a mismatch in expectations or underutilization of their advanced skills. The diversity of projects is high within the AI/ML domain, but the direct alignment with a pure Data Analyst role is moderate.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development roles (MITRE, Microsoft) suggests strong problem-solving and analytical skills. The description of work at MITRE also implies an ability to work on complex, interdisciplinary projects. However, specific soft skills like teamwork, communication, and stress handling cannot be directly assessed from the provided data.