Jared Scheib
Senior Product Engineer at Merciv
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJared Scheib is a Product Engineer in New York with 11 years of experience as a founding product engineer and mentor, having built product and engineering solutions at companies like Paperspace, InfluxData, Tagasauris, and Pineapple AF. He blends product-focused front-end craftsmanship with pragmatic engineering, including notable UI work and ES6 refactors for InfluxDB — a widely used time-series datastore. Comfortable straddling PM and SWE responsibilities, he excels at turning complex, data-rich requirements into polished, usable interfaces. Outside of software he’s a filmmaker and event producer, a creative edge that informs his user-centric product instincts.
11 years of coding experience
12 years of employment as a software developer
BA Film Production Neuroscience Japanese, BA Film Production Neuroscience Japanese at University of Southern California
typescript, python, English, French, Spanish, Japanese, Hebrew, go, solidity, Croatian
Stackoverflow
53reputation
3kreached
3answers
0questions
Github Skills (10)
uid10
javascript10
front-end-development10
ui-design10
react10
telegraf6
chronograf6
influxdb6
debian6
metric6
Programming languages (13)
Github contributions (5)
influxdata/influxdb
Feb 2017 - Oct 2018
Scalable datastore for metrics, events, and real-time analytics
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1326 commits, 8 issues in 1 year 7 months
Contributions summary:Jared's commits indicate a focus on UI development within the InfluxDB project, particularly around the creation and modification of front-end components. The contributions involve refactoring existing components like `StatusPage.js` and `LayoutRenderer.js`, along with implementing new features and components related to the dashboard interface. The user also updated HSON paths and refactored existing components to adhere to ES6 class syntax.
real-time-analyticsscalablereactanalyticsevents
Paperspace/mnist-sample
May 2019 - Sep 2020
An example mnist model for Gradient to demonstrate TensorFlow model parsing, distributed training, and more.
Contributions:12 commits, 17 PRs, 9 pushes in 1 year 4 months
distributed-trainingparsingtrainingtensorflowtensorflow-model
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