Melissa Runfeldt
Sr Staff Machine Learning Engineer at ServiceNow
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolMelissa Runfeldt is a Sr. Staff Machine Learning Engineer with 11 years of experience building production-grade ML and deep learning systems, currently driving ML initiatives at ServiceNow after founding CueIn. Her background spans research-grade computational neuroscience (PhD, UCSF postdoc) to large-scale product ML at Salesforce, where she shipped multitenant, monitored AI services and vision products for Einstein. She combines rigorous statistical thinking from neural data analysis with pragmatic engineering for model deployment, monitoring, and customer data deep dives. As a founder and AI advisor she bridges ideation to production, mentoring teams and shaping architectures that scale across customers. Notably, her academic work produced open-source tools for neural waveform sorting and hardware-software integrations, reflecting an engineer who codes at both hardware and cloud scales. Based in Austin, she brings a rare mix of neuroscience insight and hands-on ML product leadership.
11 years of coding experience
9 years of employment as a software developer
BS Biology, BS Biology at University of South FloridaDoctor of Philosophy (Ph.D.) Computational Neuroscience, Doctor of Philosophy (Ph.D.) Computational Neuroscience at University of ChicagoPostdoctoral Scholar Auditory Neocortex Information Coding, Postdoctoral Scholar Auditory Neocortex Information Coding at University of California, San Francisco
English, matlab, python, scala, python
Github Skills (47)
dsl10
feature-engineering10
structured-data10
einstein10
salesforce10
strongly-typed9
automated-machine-learning9
machine-learning8
scala8
automl8
spark8
transformers8
modular8
sentence7
ai7
Programming languages (4)
Github contributions (5)
mrunfeldt/myPyFun
Nov 2015 - Aug 2016
Contributions:6 pushes, 1 branch in 9 months
mrunfeldt/signalProcessingFun
Nov 2015 - Dec 2015
Contributions:9 pushes, 1 branch in 1 month
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