Kerri Rapes - Executive Advisor at Pngme

Kerri Rapes

Executive Advisor at Pngme

Indiana, United States

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Summary

🤩

Rockstar

🎓

Top School

Kerri Rapes is a data science and engineering leader with 11 years of experience building production ML, data infrastructure, and anti-fraud systems across fintech, crypto, and environmental tech startups. She has led teams from the field—collecting and validating borehole data at Schlumberger—to executive roles creating scalable data foundations and automated retraining pipelines at Sendwave and Odd Industries. As a founder/CTO she’s launched mission-driven products (OceanGuarda) and built predictive intelligence for institutional crypto wallets (Trustbytes), blending MPC security with AI for treasury risk mitigation. Kerri advises C-suite teams at Pngme on product and ML strategy, drawing on hands-on platform design and a pragmatic focus on data quality and drift detection. An early full-stack contributor to automation tooling—like a LinkedIn application bot that handles Chrome driver updates and YAML-driven configs—she balances practical engineering with strategic leadership. She combines a Mechanical Engineering background with Harvard Business School CORe and Udacity ML training, and is known for thriving where messy, multidisciplinary problems meet product impact.

11 years of coding experience

5 years of employment as a software developer

CORe Executive Education Program, Business Administration and Management, General, CORe Executive Education Program, Business Administration and Management, General at Harvard Business School Online

Nanodegree in Machine Learning, Machine Learning, Nanodegree in Machine Learning, Machine Learning at Udacity

Mechanical Engieering, Engineering, Mechanical Engieering, Engineering at Purdue University

Honors Diploma, Technology Track, Honors Diploma, Technology Track at Leo Senior High School

English, Spanish

Stackoverflow

Stats

301reputation

22kreached

11answers

0questions

Github Skills (17)

webdriver10

selenium10

python10

selenium-ide10

web-automation10

yaml9

aws-apigateway6

timestamp6

amazon-sagemaker6

amazon-dynamodb6

mnist6

android6

aws-lambda6

machine-learning6

amazon-web-services6

Programming languages (4)

DockerfileShellJupyter NotebookPython

Github contributions (5)

nicolomantini/LinkedIn-Easy-Apply-Bot

Jun 2020 - Jun 2021

Automate the application process on LinkedIn

Role in this project:

Full-stack Developer

Contributions:5 reviews, 92 commits, 38 PRs in 1 year

Contributions summary:Kerri contributed significantly to the `linkedin-easy-apply-bot` repository, focused on automating the LinkedIn application process. They implemented features such as automatically obtaining the latest Chrome version via `webdriver-manager`. Core contributions include implementing functionalities to support the application process, including submitting applications with the "next" and "review" buttons. Additionally, the user integrated cover letter uploads and provided a flexible configuration using YAML files.

pythonlinkedinautomationlinkedin-apigift

krapes/lambdaLoadTesting

Mar 2019 - Aug 2019

Load-Test Lambdas Without All the Setup

Contributions:20 commits, 23 PRs, 33 pushes in 5 months

load-testserverlessaws-lambdalambdasaws

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