Bio:
I recently completed my PhD in Electrical and Computer Engineering at UC Santa Cruz, where I focused on data engineering, cloud computing, and IoT systems for high-throughput biological data. I build full-stack platforms for time-series data acquisition and cloud pipelines that handle terabytes of data per day per system. My recent work involved modeling complex biological signals using techniques like hidden Markov models and SVD, building longitudinal tracking algorithms, and running real-time experimental feedback systems. In one project, my cloud-based neurotechnology platform was used to remotely detect and stop seizure activity in live human brain tissue.
I’ve built tools now used by multiple labs nationwide, published in Nature Neuroscience, and open-sourced several platforms including braingeneerspy, mission_control, and piphys. My contributions have supported multiple successful grant applications, helping our research group secure millions in funding from sources including the NSF, NIH, and private foundations.
I’m looking for roles where I can keep solving hard problems at the interface of hardware, software, and data; particularly in bioengineering, neurotechnology, or scientific computing startups.
I’m confident I can bring value to your team, whether in industry or research. Feel free to reach out if you'd like to connect.
Remote: Either/Hybrid
Willing to relocate: Yes
CV: https://drive.google.com/file/d/1LhawaE3UFjF88UBxPYXnc4ti6vY...
Email: surygeng812@gmail.com
Technologies: High-throughput data pipelines, Cloud computing, Machine learning, Neurotech, Python, C/C++, PyTorch, Scikit-learn, Bash, Qt, Redis, MQTT, Docker, Kubernetes, AWS (S3, EC2), Git, MATLAB, Electrophysiology, IoT systems, Time-series analysis, Containerized workflows, and Brain-computer interfaces.
Bio: I recently completed my PhD in Electrical and Computer Engineering at UC Santa Cruz, where I focused on data engineering, cloud computing, and IoT systems for high-throughput biological data. I build full-stack platforms for time-series data acquisition and cloud pipelines that handle terabytes of data per day per system. My recent work involved modeling complex biological signals using techniques like hidden Markov models and SVD, building longitudinal tracking algorithms, and running real-time experimental feedback systems. In one project, my cloud-based neurotechnology platform was used to remotely detect and stop seizure activity in live human brain tissue.
I’ve built tools now used by multiple labs nationwide, published in Nature Neuroscience, and open-sourced several platforms including braingeneerspy, mission_control, and piphys. My contributions have supported multiple successful grant applications, helping our research group secure millions in funding from sources including the NSF, NIH, and private foundations.
I’m looking for roles where I can keep solving hard problems at the interface of hardware, software, and data; particularly in bioengineering, neurotechnology, or scientific computing startups.
I’m confident I can bring value to your team, whether in industry or research. Feel free to reach out if you'd like to connect.
- Sury