Borjan Geshkovski

Data Scientist

https://talent.gravityer.com/borjan-geshkovski

INRIA

Key Strengths

Extensive personal project experience in Python for machine learning and control systems.
Demonstrated focus on transformer models and deep learning research.
Experience with scientific computing tools like Jupyter Notebook and Matlab.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily research-oriented and academic, focusing on specific mathematical and control theory applications within machine learning. While this demonstrates deep technical interest, the diversity of project types for a general 'Data Scientist' role is limited. The current role as 'Data Scientist' at INRIA aligns with the target role, but the experience duration is not specified beyond a start date in 2026, which appears to be a future date, making it difficult to assess current professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completion or data.

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Projects

2026-lost-in-the-middle

May 12, 2026 – Present

2026-lost-in-the-middle — GitHub repository

View Project

2026-MLP-Attention-Energy

January 2, 2026 – Present

2026-MLP-Attention-Energy — GitHub repository

View Project

2025-transformers-frank-wolfe

April 24, 2025 – Present

Codes for the paper "Attention's forward pass and Frank-Wolfe".

View Project

2024-transformers-dotm

July 2, 2024 – July 9, 2024

2024-transformers-dotm — GitHub repository

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2023-transformers-rotf

December 5, 2023 – July 8, 2024

Codes for the paper "A mathematical perspective on Transformers".

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2023-transformers

May 9, 2023 – December 18, 2023

Codes for the paper The emergence of clusters in self-attention dynamics.

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2022-stefan-control

March 3, 2022 – December 18, 2023

Codes for the paper "Control of the linearized Stefan problem in a periodic box".

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2021-optimal-controller

May 12, 2021 – February 26, 2023

Codes for the paper "Optimal actuator design via Brunovsky's normal form".

View Project

leia

August 7, 2020 – February 26, 2023

A toolbox for learning with neural ODEs.

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2020-deep-learning

February 2, 2020 – December 11, 2020

Basics on deep learning and neural networks.

View Project

Key Strengths

Extensive personal project experience in Python for machine learning and control systems.
Demonstrated focus on transformer models and deep learning research.
Experience with scientific computing tools like Jupyter Notebook and Matlab.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completion or data.

Borjan Geshkovski

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit