# Paul Garell

> SDE @ Amazon

Location: New York, New York, United States
Profile: https://flows.cv/paulgarell

prgarell@gmail.com

I am an recent grad of Cornell University passionate about using computer science and engineering to create a brighter future! I am specializing in machine learning, embedded software, and cloud infrastructure.

At Cornell I lead a project team that looks to bring healthcare solutions to resource constrained communities. One project I specifically led is a low cost EMG prosthetic hand with a 99% cost reduction compared to equal functioning hands on the market. I specifically contributed with embedded programming and system design, alongside leading a team of 10 engineers.

Additionally, I lead the development of a new method for predicting pre term births for pregnant mothers. Leveraging the power of machine learning in coordination with patented technology, I hope to lessen burden of unpredicted pre-term births.

Some of my technical skills include proficiency in Python, MATLAB, Java, C/C++ and OCaml as well as comfortability using complex data structures and common (and some uncommon) algorithms. Additionally, I am experienced in working on AWS and cloud infrastructure from a previous internship at AWS.

Please reach out to me!

## Work Experience
### Software Engineer @ Amazon
Jan 2024 – Present | New York, New York, United States
- First place Hackathon Fall 2025 AWS Platform Experience
- Automated Shortfall Billing through a scalable, serverless architecture with deep system observability metrics for tracking time to bill delivering $50M FCF
- Defined, designed, and drove a team of engineers to build a extensible AI native solution for last touch automation covering 15% of AWS revenue

- AWS Monetization

### Lead Researcher @ Meinig School of Biomedical Engineering at Cornell University
Jan 2022 – Jan 2024
- Prototyping a patented device to predict the time of labor in pregnant women using impedance spectroscopy
- Designing custom printed circuit boards using EAGLE to interface software and hardware for low-latency performance
- Implementing C++ and python to obtain and algorithmically filter impedance data
- Leveraging machine learning models to improve prediction accuracy and efficiency
- Directing a team of 8 undergraduate students across different disciplines including computer science, electrical engineering, biomedical engineering, and mechanical engineering

### Electrical Subteam Lead Engineer @ Cornell Engineering World Health
Jan 2021 – Jan 2024 | Ithaca, New York, United States
-Design, prototype, and implement low-cost solutions to medical problems targeting low-income communities
-Leverage artificial intelligence to develop an armband for a more natural BCI interface, in collaboration with Invictus BCI
-Implementing Python library openCV to detect objects using a camera and a Rasberry pi, in collaboration with Aurolabs
-Designing glasses with stereo cameras to detect objects, obstacles, and text to reproduce audibly for people that are visually impaired (Aurolabs)
-In a collaboration with the United Nations designing low cost motorbike-ambulances to aid in transportation of pregnant women to hospitals in the Ivory Coast

### Software Dev Engineer Intern @ Amazon
Jan 2023 – Jan 2023 | New York City Metropolitan Area
- Created observability telematics using AWS IoT, AWS CDK and Grafana to analyze live CAN bus data from a vehicle
- Build and deployed IoT device simulators using boto3 to create live test data for automated testing and CI/CD on cloud
- Developed low latency pipeline to transmit data from vehicle to IoT device to cloud with performance indicators
- Utilized embedded linux and Yocto to optimize performance and reproducibility across hardware

### Physics Teaching Assistant @ Cornell University
Jan 2022 – Jan 2022 | Ithaca, New York, United States
- Undergraduate teaching assistant for General Physics II (electricity and magnetism)
-Teach physics concepts and problem-solving methods
-Engage students by providing applicable examples 
-Assess and grade student's understanding of laboratory physics

### Medical Scribe @ Department of Neurosurgery
Jan 2021 – Jan 2022 | Carmel Hamlet, New York, United States
Medical scribe at Putnam Hospital in the department of neurosurgery
- Recorded all aspects of provider-patient encounters
- Notated and organized using electronic medical records

### Hardware Intern @ Invictus BCI Incorporated
Jan 2021 – Jan 2021
-Integrated circuitry into an armband to create a near-natural functioning prosthetic
-Worked on designing the main circuit board and electrodes for EMG 
-Tested and prototyped functionality of human-computer interface

### Research Intern @ New York Medical College
Jan 2019 – Jan 2021 | New York, United States
-Implemented experiments to utilize the mTOR pathway to therapeutically target cancer stem cells in a wet lab
-Administered rapamycin, pp242, Torin and other drugs to reduce proliferation and migration of Glioblastoma
-Analyzed and prepared data using Microsoft Excel and R for publication in academic journals
-Trained and supervised 3 new lab members; demonstrated techniques and taught protocols

### Teacher @ Coditum Coding Classes Online
Jan 2017 – Jan 2020
-Teach python to students aged 5+ 
-Conceptualize complex ideas to kids so they ate able to learn advanced coding concepts


## Education
### Bachelor of Science - BS in Computer Science
Cornell University

### Horace Greeley High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/paul-garell

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Source: https://flows.cv/paulgarell
JSON Resume: https://flows.cv/paulgarell/resume.json
Last updated: 2026-04-05