Kamil Kaczmarek
Data ScientistSWE, Reinforcement Learning
ray-project
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SWE, Reinforcement Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ray-project
Data Scientist
June 23, 2026 – Present
ray-summit-2023-training
August 22, 2023 – October 2, 2023
ray-summit-2023-training — repository
View Projectanyscale-berkeley-ai-hackathon
June 16, 2023 – June 17, 2023
Ray and Anyscale for UC Berkeley AI Hackathon!
View Projectllms-in-prod-workshop-2023
June 9, 2023 – June 15, 2023
Deploy and Scale LLM-based applications
View Projectray-acm-workshop-2023
March 6, 2023 – March 11, 2023
Scalable/Distributed Computer Vision with Ray
View Projectray-educational-materials
September 16, 2022 – February 13, 2024
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
View Projectopen-solution-data-science-bowl-2018
January 15, 2018 – June 22, 2022
Open solution to the Data Science Bowl 2018
View Projectsteppy
January 15, 2018 – November 23, 2018
Lightweight, Python library for fast and reproducible experimentation :microscope:
View Projectopen-solution-toxic-comments
January 4, 2018 – June 22, 2022
Open solution to the Toxic Comment Classification Challenge
View Projectminerva-training-materials
December 11, 2017 – June 22, 2022
Learn advanced data science on real-life, curated problems
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards open-source contributions, educational content creation, and community engagement, particularly around the Ray ecosystem. This indicates a collaborative and knowledge-sharing mindset. However, the projects are heavily concentrated on a specific technology (Ray) and Python, which might suggest a specialized focus rather than broad technical diversity. The single listed work experience is also with 'ray-project', reinforcing this specialization. While this deep expertise is valuable, a broader range of technologies or problem domains would indicate a more versatile cultural fit for diverse team needs.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a proactive and collaborative approach to sharing knowledge and solutions.