Niklas

Data Scientist

https://talent.gravityer.com/niklas

StanfordMember since June 29, 2026

Key Strengths

Extensive experience with large language models (LLMs) and transformer architectures (BERT, GPT-2).
Proficiency in Python, C++, and Cuda for high-performance computing and deep learning.
Demonstrated ability in research and development of advanced NLP techniques, including sentence embeddings and cross-lingual generalization.
Experience with instruction tuning and parameter-efficient methods for LLMs.
Familiarity with MLOps-related scripting (Shell, Makefile) and environment management (SLURM, Dockerfile).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic/research-oriented large language model development. While this aligns with a Data Scientist role, the lack of diverse project types (e.g., business intelligence, traditional machine learning, data engineering) and explicit team collaboration details makes it difficult to fully assess cultural fit for a typical industry role. The projects are all personal, which might indicate a preference for independent work.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.

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Projects

astraios

November 30, 2023 – April 10, 2024

Astraios: Parameter-Efficient Instruction Tuning Code Language Models

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Data-Provenance-Collection

October 3, 2023 – March 26, 2025

Data-Provenance-Collection — GitHub repository

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scandinavian-embedding-benchmark

July 28, 2023 – December 5, 2025

A Scandinavian Benchmark for sentence embeddings

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octopack

March 25, 2023 – February 5, 2025

🐙 OctoPack: Instruction Tuning Code Large Language Models

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xmtf

October 18, 2022 – September 22, 2024

Crosslingual Generalization through Multitask Finetuning

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datablations

October 6, 2022 – June 28, 2025

Scaling Data-Constrained Language Models

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sgpt

February 11, 2022 – February 17, 2024

SGPT: GPT Sentence Embeddings for Semantic Search

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Megatron-DeepSpeed

July 2, 2021 – March 20, 2024

Ongoing research training transformer language models at scale, including: BERT & GPT-2

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bigscience

May 8, 2021 – July 29, 2024

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

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vilio

October 28, 2020 – June 8, 2023

🥶Vilio: State-of-the-art VL models in PyTorch & PaddlePaddle

View Project

Key Strengths

Extensive experience with large language models (LLMs) and transformer architectures (BERT, GPT-2).
Proficiency in Python, C++, and Cuda for high-performance computing and deep learning.
Demonstrated ability in research and development of advanced NLP techniques, including sentence embeddings and cross-lingual generalization.
Experience with instruction tuning and parameter-efficient methods for LLMs.
Familiarity with MLOps-related scripting (Shell, Makefile) and environment management (SLURM, Dockerfile).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Niklas

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit