John Alvarez
Founding Software Engineer @ Parametric (YC F25)
About
At Parametric, we're building the next generation of general purpose robots. We fine-tune foundational robotics models with dense reward and reinforcement learning, teaching them to operate in messy, unpredictable commercial environments, not just clean lab setups. I'm building the data engine and ML infrastructure underneath it all.Before Parametric, I co-built the software, data infrastructure, and machine learning systems behind Attune Neurosciences' non-invasive deep brain stimulation platform.
United States
San Francisco
Mental Health Care
Robotics, Medical Ultrasound, Augmented Reality (AR), Data Engineering, Artificial Neural Networks, Pipeline Engineering, Signal Processing, Extract, Transform, Load (ETL), Deep Learning, Neural Networks, Decision Trees, TensorFlow, Random Forest, XGBoost, ML Project Development, Linear Algebra, Machine Learning, Data Modeling, Data Cleaning, Data Wrangling
Experience

Data Engineer
San Francisco, California, United States
Member of the Networks, Neuroscience, and Neuromodulation (N3) Lab Analyzing neurophysiological (iEEG) and imaging (fMRI) based functional connectivity, brain network dynamics, and mood-predictive biomarkers in human subjects with treatment-resistant depression and OCD

Neuroscience Researcher
Greater New York City Area
Collaborated with Dr. Asif Ghazanfar and Dr. Yisi Zhang to publish an article based on my research called “Arousal elevation drives the development of oscillatory vocal output” in Journal of Neurophysiology

Princeton University Keller Center eLab Incubator
Princeton Keller Center
John Alvarez's Contact Information
Phone
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