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Assessing your cultural and operational fit
jarvislabs.ai
Data Scientist
June 13, 2026 – Present
jl-skills
March 26, 2026 – Present
Agent skills for running GPU workflows on JarvisLabs.ai — works with Claude Code
View Projectfastapi-sd-template
October 24, 2022 – October 24, 2022
fastapi-sd-template — GitHub repository
View ProjectJLClient
December 17, 2021 – Present
Interacting with Jarvislabs.ai for creating GPU/CPU powered instances on top of A100, A6000, RTX 5000.
View ProjectPyTorch-Manning-Notes
May 26, 2021 – June 3, 2021
Contains notes used for a book reading group.
View Projectsiim-acr
March 12, 2021 – June 23, 2021
Identifying Pneumothorax Segmentation using Deep learning
View ProjectJarvisCloud-ChitChat
February 10, 2021 – February 10, 2021
A place where we all can discuss anything related to JarvisCloud or Deep Learning
View ProjectTransferLearning-Tips-and-Tricks
May 1, 2020 – May 1, 2020
The repository contains Jupyter notebook for the transfer learning blog using PyTorch
View ProjectTGS-Salt-Identification-FastAI-V2
March 23, 2020 – April 5, 2020
Use fastai-v2 and PyTorch to build an ImageSegmentation
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on deep learning and GPU infrastructure, aligning with a data scientist role. However, the lack of diverse project types or team-based work in the provided data limits the assessment of broader cultural fit. The single listed experience is with 'jarvislabs.ai' which is also the focus of many personal projects, suggesting a strong alignment with that specific ecosystem but less evidence of adaptability to varied environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.