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Platypus Labs LLC
Data Scientist
June 22, 2026 – Present
rola-zoology
June 12, 2026 – Present
RoLA experiment harness and MQAR sweeps (zoology fork, public mirror)
View Projectrola
June 12, 2026 – Present
RoLA: Routed Linear Attention — model library + verification harness (public mirror)
View Projectflash-linear-attention-rola
June 12, 2026 – Present
FLA fork: RoLA routed kernels (private dev)
View ProjectGetPass
July 10, 2019 – June 3, 2020
An app that helps users recover their stolen passwords
View Projectlocal_database
June 4, 2019 – February 20, 2021
A local database using dart:io file system components
View ProjectShift_Saver
January 8, 2019 – January 12, 2019
A Flutter app made to help people keep track of their work shifts
View ProjectPPoll_Redesign
September 30, 2018 – December 9, 2022
A redesign of the app PPoll that implements Google's Material Design standards.
View ProjectTI84StarFighter
July 3, 2018 – July 3, 2018
A star fighter game on the TI 84, Run TEST.8xp(with all other .8xps downloaded) to play, Press arrow keys to move, and enter to fire
View ProjectPPoll
June 23, 2018 – October 6, 2018
A polling app made with the Flutter framework with live updating polls and image uploading capability
View ProjectCryptoTracker
May 20, 2018 – September 18, 2021
An app made using the Flutter framework that allows users to track information for over 1500 cryptocurrencies
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal mobile application development using Dart, Ruby, and mobile-specific frameworks (Flutter, Swift, Kotlin). While demonstrating initiative, this broad focus on mobile development, with only two projects ('rola-zoology', 'flash-linear-attention-rola') directly aligning with Data Science technologies (Python, Jupyter Notebook), suggests a potential mismatch with a dedicated Data Scientist role. The 'experienceLevel' is 0, despite a current Data Scientist role, which might indicate a very recent start or entry-level experience. The diversity of technologies is high, but the depth in core Data Science tools appears limited based on project descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data focuses on technical projects and a single work experience entry without detailed descriptions of collaboration, problem-solving, or communication in a team setting.