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PhD | Applied R&D | Computer Vision | Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Continual learner passionate about problem solving, mathematics, algorithms, research, and developing solutions to complex real-world challenges. Current areas of interest and research include: • Computer Vision • Perception Systems • Multi-Sensor Perception • Edge AI / On-Device Inference • Real-Time Detection and Analytics • Deep Learning and Machine Learning Systems • Autonomous Systems • Applied Deep Learning in Production
Nova Southeastern University
MSCS, Computer Science
N/A – Present
New York University - Polytechnic School of Engineering
Bachelor’s Degree, EE (major) - CS (minor)
N/A – Present
Florida Atlantic University
Doctor of Philosophy (PhD), Computer Engineering - Digital Signal Processing
N/A – Present
Lime
Principal Computer Vision Scientist
April 1, 2026 – Present
Leidos
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January 1, 2022 – April 1, 2026
Boca Raton, Florida, United States
Sensormatic
Principal Machine Learning & Computer Vision Engineer
August 1, 2019 – January 1, 2022
Boca Raton, FL
LexisNexis Risk Solutions
Senior Software Engineer
July 1, 2018 – August 1, 2019
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IBM
Senior Machine Learning Engineer
June 1, 2011 – July 1, 2018
Boca Raton, Florida, United States
Generative AI
Udacity
June 24, 2026 – Present
Data Science Foundations - Level 1
IBM
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Custom Models, Layers, and Loss Functions with TensorFlow
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Deep Reinforcement Learning
Udacity
June 24, 2026 – Present
Sensor Fusion
Udacity
June 24, 2026 – Present
Build Basic Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in applied research and development within various industries (micro-mobility, defense, retail, data solutions, tech), demonstrating adaptability and a broad range of experience. The progression through Principal Scientist/Engineer roles indicates a drive for technical leadership and innovation. The certifications in Generative AI, Deep Reinforcement Learning, and Sensor Fusion show a commitment to continuous learning and staying current with advanced ML topics. However, the project section is empty, which limits the assessment of diverse project contributions outside of direct employment descriptions.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles in applied research and development, indicating strong problem-solving, innovation, and project leadership skills. The descriptions suggest an ability to work on complex, real-world problems and deliver production-grade solutions. However, without psychometric test results or interview data, specific soft skills like stress handling or team collaboration cannot be definitively assessed.