Nathan Knopf
@nathanknopf
Senior Machine Learning Engineer specializing in AI and NLP solutions.
United StatesWhat I'm looking for
I am a Senior Machine Learning Engineer with a strong background in developing advanced AI solutions, particularly in natural language processing and real-time translation systems. At Lingopal, I designed and deployed a real-time speech-to-speech translation pipeline, utilizing cutting-edge technologies like OpenAI Whisper and Tacotron 2. My work has significantly improved multilingual communication, enabling seamless interactions across diverse languages.
Previously, I served as a Machine Learning Engineer at John Deere, where I led predictive maintenance modeling and developed edge-optimized vision models for agricultural applications. My projects not only reduced equipment downtime but also enhanced crop health detection through innovative machine learning techniques. I am passionate about leveraging AI to solve real-world problems and continuously seek to improve model performance and deployment efficiency.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
Lingopal
Aug 2022 - Present (2 years 10 months)
Designed and deployed a real-time speech-to-speech translation pipeline using OpenAI Whisper, Tacotron 2, and custom voice cloning models. Developed and launched context-aware conversational AI using RAG architecture with LLaMA 2, Huggingface Transformers, and LangChain.
Machine Learning Engineer II
John Deere
Aug 2020 - Jul 2022 (1 year 11 months)
Led predictive maintenance modeling for agricultural machinery using XGBoost and LSTM, reducing unexpected equipment downtime by 22%. Built edge-optimized vision models for crop health detection using TensorFlow Lite and OpenCV.
Machine Learning Engineer I
John Deere
Oct 2017 - Jul 2020 (2 years 9 months)
Developed supervised learning models for equipment usage classification using Scikit-learn and Pandas. Constructed rule-based and ML-enhanced anomaly detection systems to flag abnormal behavior in transmission systems.
Education
Degrees, certifications, and relevant coursework
UUUniversity of Utah
Master's Degree, Computer Science
Completed a Master's degree in Computer Science. Focused on advanced topics in the field, preparing for a career in machine learning and data science.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Skills
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