David Rimel
@davidrimel
Senior AI/ML Engineer specializing in real-time computer vision and audio intelligence solutions.
United StatesWhat I'm looking for
I am a Senior AI/ML Engineer with eight years of experience designing and deploying intelligent video production solutions, managing the full ML lifecycle, and mentoring junior engineers. I specialize in computer vision, audio intelligence, multimodal understanding, and building production-ready models optimized for cloud and device inference.
I have a strong track record using Python, TensorFlow, PyTorch, ONNX and related tools to improve model performance and deploy real-time systems; I collaborate closely with product and engineering teams to align AI roadmaps with business goals and routinely drive innovation through LLM-based agents, efficient model architectures, and CI/CD practices.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
Iodine Software
Jan 2023 - Present (2 years 9 months)
Led AI/ML initiatives for video production, delivering production-ready computer vision and audio-intelligence models and optimizing them for real-time cloud and device inference.
Senior AI/ML Engineer
Tecla
Jan 2021 - Dec 2022 (1 year 11 months)
Managed development and production deployment of computer vision and audio-processing models, built data pipelines and implemented CI/CD to accelerate model iteration and improve processing speed.
Mid-Level AI/ML Engineer
SharpQuest
May 2018 - May 2019 (1 year)
Developed and maintained ML models for image segmentation and speech recognition, contributing to model optimizations that reduced latency and improved accuracy for real-time applications.
MIAssisted in training and integrating ML models into applications, supported data preprocessing efforts and contributed to a project that improved model accuracy by 20%.
Education
Degrees, certifications, and relevant coursework
MUMichigan State University
Master of Science, Computer Science
2018 - 2020
Completed a Master of Science in Computer Science at Michigan State University from January 2018 to December 2020, focusing on advanced machine learning and AI techniques.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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