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R
Ronald M.

Ronald M.

Lead Automation Engineer, Tesla — AI-driven computer vision anomaly detection

USA flagAustin, Usa

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
Don't disclose

Top Subject Matter

Industrial predictive maintenance (computer vision)
Manufacturing optical inspection (circuit board defects)
Technical support automation (NLP)

Top Data Types

ImageImage
TextText

Top Task Types

Object DetectionObject Detection
Question AnsweringQuestion Answering
ClassificationClassification

Freelancer Overview

Lead Automation Engineer, Tesla — AI-driven computer vision anomaly detection. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), OpenCV, and Don't disclose. Education includes Master of Science, The University of Texas at Austin (2020) and Bachelor of Science, Texas A&M University (2016). AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection, Question Answering, and Classification.

Labeling Experience

OpenCV AI Kit (OAK)

Lead Automation Engineer, Tesla — AI-driven computer vision anomaly detection

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)ImageImageObject DetectionObject Detection

Led computer-vision driven predictive maintenance using equipment anomaly detection with AI. This involved preparing and using labeled visual data to train or validate detection performance on industrial images/video. The work focused on identifying visual anomalies associated with equipment faults to reduce production downtime. • Computer vision anomaly detection for predictive maintenance • Training/validation dataset refinement with labeled defect/anomaly examples • Performance evaluation driving reduced assembly line downtime • Integration into operational robotics/IoT workflows

2023 - Present

AI Automation Specialist, Honeywell — NLP bots for troubleshooting workflow automation

Don't discloseTextTextQuestion AnsweringQuestion Answering

Developed NLP automation bots to streamline technical support documentation and troubleshooting workflows. This involved using text data (e.g., documentation/troubleshooting content) to support intent/answer generation and bot behavior aligned to support queries. The system reduced the proportion of manual technical support work by leveraging automated responses. • NLP bot development using technical documentation • Training/using labeled or structured text examples for troubleshooting automation • Designing bot behavior for support query resolution • Automating support workflows end-to-end

2020 - 2022

AI Automation Specialist, Honeywell — deep learning AOI defect detection

ImageImageObject DetectionObject Detection

Implemented automated optical inspection (AOI) systems using deep learning to identify defects in circuit board manufacturing. This required labeled image defect examples to support supervised model training and improvement of defect detection accuracy. The objective was to enable scalable defect identification in manufacturing inspection workflows. • Defect identification for circuit board AOI • Using labeled inspection imagery for deep learning training • Iterative improvements to inspection/model performance • Automation of inspection for manufacturing quality control

2020 - 2022

Robotics & Systems Engineer, Cognex Corporation — training set refinement for navigation algorithms

Don't discloseImageImageClassificationClassification

Collaborated with data scientists to refine training sets for warehouse navigation algorithms. This included contributing to the preparation and curation of training data used by learning models. The focus was on improving model readiness and overall navigation performance for logistics settings. • Training set refinement for warehouse navigation models • Data curation to support learning-based navigation • Supporting data preparation for data scientists • Improving algorithm performance through better training data

2018 - 2020

Education

T

The University of Texas at Austin

Master of Science, Artificial Intelligence

Master of Science
2018 - 2020
T

Texas A&M University

Bachelor of Science, Mechanical Engineering

Bachelor of Science
2012 - 2016

Work History

T

Tesla

Lead Automation Engineer

Austin
2023 - Present
H

Honeywell

AI Automation Specialist

Houston
2020 - 2022