Jesper Ekstrøm

Data Scientist

https://talent.gravityer.com/jesper-ekstrom

MSc. Cybernetics and Robotics. Developing robots for Equanostic AS. Interested in multi-agent robust reinforcement learning.

Member since June 26, 2026

Key Strengths

Demonstrated interest in Data Science and Reinforcement Learning through personal projects (e.g., 'robust_rl', 'toyRL').
Experience with Python and C++ which are foundational for Data Science and Machine Learning.
Exposure to object classification and micro-Doppler analysis, indicating a background in signal processing and machine learning applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards research-oriented and experimental work, particularly in robotics and machine learning. This suggests a fit for roles that value innovation and problem-solving. However, the projects are predominantly personal/academic, and there is no information on collaborative work or professional experience, making a comprehensive cultural fit assessment difficult. The breadth of technologies (Python, C++, Zig, Java, Matlab) indicates adaptability.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

zig-rgbapng

July 26, 2025 – October 11, 2025

Zig decoding of 8-bit-per-channel (32-bit-total) PNG images. Ignores anything that is not an IHDR or IDAT chunk.

View Project

battlebuds

August 9, 2024 – November 9, 2025

Learning Zig and HID controller interface by making a game.

View Project

robust_rl

January 19, 2024 – June 15, 2024

Master's Thesis on robust and high-precision RL policies

View Project

tdt4195

September 16, 2023 – November 21, 2023

Assignments in TDT4195 Visual Computing Fundamentals

View Project

robodart

September 5, 2023 – September 5, 2023

Robodart project at NTNU

View Project

robodart_exploration

September 5, 2023 – December 17, 2023

Unstructured and unimportant repo for testing various things without consequences

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toyRL

September 2, 2023 – September 4, 2023

Exploring reinforcement learning for robot manipulator dart throwing in a toy environment

View Project

EE4675-Project

June 4, 2023 – July 11, 2023

Project in EE4675 Object Classification with Radar; Micro-Doppler Based Classification of Individuals from Gaits

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SC42100-Assignments

May 13, 2023 – July 11, 2023

Repository for all assignments in SC42100 Networked and Distributed Control Systems at TU Delft

View Project

AISTRE-labs

February 15, 2023 – April 28, 2023

AISTRE-labs — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Reinforcement Learning through personal projects (e.g., 'robust_rl', 'toyRL').
Experience with Python and C++ which are foundational for Data Science and Machine Learning.
Exposure to object classification and micro-Doppler analysis, indicating a background in signal processing and machine learning applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Jesper Ekstrøm

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit