Emilia Wiśnios

Emilia Wiśnios

Machine Learning Engineer @ Jutro Medical

About

Machine learning researcher and engineer specializing in NLP and LLM development. Led projects in pretraining and fine-tuning language models. Active contributor to ML in PL community since 2019. Experienced in developing AI solutions for security and policy analysis. Check out my projects: github.com/emiliawisnios and papers: scholar.google.com/citations?user=k-SjUbIAAAAJ

Country

-

City

Poland

Industry

Information Technology & Services

Skill

AI Safety, AI Agents, TFX, Natural Language Processing (NLP), Large Language Models (LLM), Project Management, Retrieval-Augmented Generation (RAG), Multimodal RAG, RAG, Google Cloud Platform (GCP), Vertex AI, Google BigQuery, Floristry, Agile Management, Scrum

Experience

Jutro Medical

Machine Learning Engineer

Jutro Medical

LinkedIn
2026-1 - Present · 9 mos
Algoverse

AI Safety Researcher

Algoverse

LinkedIn
2026-1 - Present · 9 mos
DataPhant

Machine Learning Engineer

DataPhant

LinkedIn
2025-2 - 2025-8 · 7 mos

Wroclaw Metropolitan Area

Improving security pipelines for Google

University of Warsaw

Course Coordinator

University of Warsaw

LinkedIn
2024-10 - 2025-1 · 4 mos

Warsaw, Mazowieckie, Poland

Developing and teaching a Python programming course at the Faculty of Political Science and International Studies, focused on document analysis and processing methodologies. Responsible for curriculum development and instructional materials.

Samsung Electronics Polska

NLP Engineer

Samsung Electronics Polska

LinkedIn
2024-8 - 2024-10 · 3 mos

Warsaw, Mazowieckie, Poland

Implementing mobile-optimized classification models, leveraging large language models for data augmentation. Creating technical documentation including reports and research articles.

NASK

Senior NLP Specialist

NASK

LinkedIn
2022-10 - 2024-7 · 1 yr 10 mos

Warsaw, Mazowieckie, Poland

Developing and optimizing large language models (LLMs) through pretraining, instruction tuning, and alignment to human preferences in English and Polish languages. Implementing LLM security measures and content detection systems for safeguarding against harmful content. Creating annotation guidelines and coordinating data labeling efforts. Managing a technical team of 6. Contributing to academic research through literature reviews and paper authorship. Reviewing publications for conferences.

University of Warsaw

Teaching Assistant

University of Warsaw

LinkedIn
2022-10 - 2024-6 · 1 yr 9 mos

Warsaw, Mazowieckie, Poland

Supported instruction in foundational Computer Science and Machine Learning courses: Introduction to Computer Science, Introduction to Machine Learning, Deep Neural Networks, and Natural Language Processing.

MI2.ai

Research Software Engineer

MI2.ai

LinkedIn
2022-3 - 2023-12 · 1 yr 10 mos

Warsaw, Mazowieckie, Poland

Leading research projects focused on computational analysis of policy documents, including identifying tensions in UNESCO proceedings, analyzing climate change public policies using natural language processing, and researching Big Tech's influence on AI research through quantitative methods.

Silver Bullet Solutions Sp. z o. o.

Python Developer

Silver Bullet Solutions Sp. z o. o.

LinkedIn
2021-4 - 2022-10 · 1 yr 7 mos

Warsaw, Mazowieckie, Poland

Developing a GPT-based copilot tool for telecommunications industry, implementing data processing pipelines for textual data management. Fine-tuning transformer models for Named Entity Recognition and developing data anonymization solutions for sensitive information.

Education

University of Warsaw

University of Warsaw

LinkedIn

Machine Learning

2021-10 - 2024-12 · 3 yrs 3 mos

Courses: Deep Neural Networks, Robot Control, Statistical Machine Learning, Natural Language Processing, Reinforcement Learning, Visual Recognition, Cloud Native Machine Learning Thesis: Evaluating Large Language Model Robustness with Incorrect Multiple-Choice Options (Supervisors: Piotr Sankowski, Paweł Budzianowski)

University of Warsaw

University of Warsaw

LinkedIn

Mathematics

2018-10 - 2021-9 · 3 yrs

Courses: Linear Algebra, Calculus, Probability Theory, Algorithms and Data Structures, Object Oriented C++, Data Bases, Data Mining, Time Series, Statistical Data Analysis Thesis: Predicting Escalations in Customer Support

Emilia Wiśnios's Contact Information

Email

******@***.com

Phone

(**) *** ****

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