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Jonathan Willis

@jonathanwillis

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Creative AI-focused Senior Software Engineer with over 10 years of experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to tackle challenging projects and contribute to impactful solutions.

I am a Senior Software Engineer with over a decade of experience specializing in AI, deep learning, and computer vision. My journey has been marked by a commitment to building reliable tools that enhance detection accuracy and improve patient care. At Artera, I developed a heart condition detection system that achieved an impressive 94.27% accuracy, significantly reducing missed cases and enhancing patient outcomes.

Throughout my career, I have consistently leveraged my skills in programming and cloud platforms to drive innovation. My work at Snapwire involved creating a multi-object tracker that achieved 97.42% precision, showcasing my ability to adapt and integrate cutting-edge technologies. I thrive in fast-paced environments, where my strong analytical skills and problem-solving mindset allow me to tackle complex challenges and deliver impactful results.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Artera

Nov 2021 - Present (4 years 8 months)

Built a heart condition detection system that spots problems with over 94% accuracy, slashing missed cases and lifting patient care. Designed and implemented microservices in Go to support real-time data ingestion pipelines and enhance concurrency handling, reducing processing latency by ~30%.

Keras TensorFlow Matlab Go)Databricks ReactJS Go

Image Processing Software Engineer

Snapwire

Oct 2017 - Nov 2021 (4 years 1 month)

Shipped a multi-object tracker that runs on video in real time and hits 97% precision, reading several moving items at once.

TensorFlow YOLOv3 UI UX Open Source Contributions Go

Freelancer

Nov 2016 - Sep 2017 (10 months)

Built and rolled out a quality check system that sped inspections by 40 percent and cut human mistakes. Developed a sentiment analysis engine for cryptocurrency trading, boosting average ROI by approximately 10% through automated signal extraction.

Quality Assurance Cryptocurrency trading Unit Testing

Full Stack Developer

Flexport

Oct 2014 - Oct 2016 (2 years)

Built a pricing system that updated used-car values based on local and national sales data in real time, doubling customer happiness and cutting pricing mistakes by 20%. Set up automated email processes for agents, doubling satisfaction scores in follow-up surveys.

Data Integration Automation

Education

Degrees, certifications, and relevant coursework

University of San Francisco

Master of Computer Science, Computer Science

Grade: High-Performing Fellow

Focused on Artificial Intelligence, Machine Learning, and Computer Vision. Completed coursework in Software Engineering, Database Management, Advanced Algorithms, Testing, and Data Structures. Graduated as a High-Performing Fellow, demonstrating excellence in software engineering and AI projects. Thesis: “Optimization of Deep Learning Models for Real-time Object Detection”.