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I build intelligent systems that solve real problems. With a Master's in Data Science and hands-on experience deploying production ML solutions, I specialize in: - LLM Applications: RAG pipelines, prompt engineering, fine-tuning, and custom evaluation frameworks - Machine Learning: Deep learning, generative AI (GANs, diffusion models), and classification systems - End-to-End Development: From research and experimentation to production deployment with MLOps best practices I bring research rigor with startup speed, whether it's signal processing, privacy-preserving ML, or cutting-edge generative AI. Published researcher, comfortable with full modern ML stack. Helping to build impactful tools for your use case.…I build intelligent systems that solve real problems. With a Master's in Data Science and hands-on experience deploying production ML solutions, I specialize in: - LLM Applications: RAG pipelines, prompt engineering, fine-tuning, and custom evaluation frameworks - Machine Learning: Deep learning, generative AI (GANs, diffusion models), and classification systems - End-to-End Development: From research and experimentation to production deployment with MLOps best practices I bring research rigor with startup speed, whether it's signal processing, privacy-preserving ML, or cutting-edge generative AI. Published researcher, comfortable with full modern ML stack. Helping to build impactful tools for your use case.

Alicja Karłowicz

Data Scientist, AI Developer, AI Engineer, +1

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I build intelligent systems that solve real problems. With a Master's in Data Science and hands-on experience deploying production ML solutions, I specialize in: - LLM Applications: RAG pipelines, prompt engineering, fine-tuning, and custom evaluation frameworks - Machine Learning: Deep learning, generative AI (GANs, diffusion models), and classification systems - End-to-End Development: From research and experimentation to production deployment with MLOps best practices I bring research rigor with startup speed, whether it's signal processing, privacy-preserving ML, or cutting-edge generative AI. Published researcher, comfortable with full modern ML stack. Helping to build impactful tools for your use case.…I build intelligent systems that solve real problems. With a Master's in Data Science and hands-on experience deploying production ML solutions, I specialize in: - LLM Applications: RAG pipelines, prompt engineering, fine-tuning, and custom evaluation frameworks - Machine Learning: Deep learning, generative AI (GANs, diffusion models), and classification systems - End-to-End Development: From research and experimentation to production deployment with MLOps best practices I bring research rigor with startup speed, whether it's signal processing, privacy-preserving ML, or cutting-edge generative AI. Published researcher, comfortable with full modern ML stack. Helping to build impactful tools for your use case.

Available to hire

I build intelligent systems that solve real problems. With a Master’s in Data Science and hands-on experience deploying production ML solutions, I specialize in:

LLM Applications: RAG pipelines, prompt engineering, fine-tuning, and custom evaluation frameworks
Machine Learning: Deep learning, generative AI (GANs, diffusion models), and classification systems
End-to-End Development: From research and experimentation to production deployment with MLOps best practices

I bring research rigor with startup speed, whether it’s signal processing, privacy-preserving ML, or cutting-edge generative AI. Published researcher, comfortable with full modern ML stack.

Helping to build impactful tools for your use case.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Polish

Fluent

English

Fluent

German

Beginner

Work Experience

Junior Data Scientist at inoqo GmbH Vienna

June 1, 2024 - Present

Designed and deployed a multi-stage LLM-based RAG classification pipeline, increasing product classification accuracy by 23%. Calibrated custom confidence scores reducing false positives to 5%. Led the design of a novel three-stage LLM pipeline for inferring complex product composition, supported by a custom evaluation framework. Introduced experiment tracking and MLOps with mlflow to the company.

Machine Learning Researcher at SBA Research Vienna

May 1, 2023 - April 30, 2024

Trained GANs and diffusion models to generate synthetic images on multi-GPU clusters. Contributed to research on memorization of generative AI, IP protection, and deepfakes.

Machine Learning Research Intern at SBA Research Vienna

May 1, 2022 - November 30, 2022

Applied privacy-preserving techniques to microbiome data while maintaining its utility, tested with various ML classification models and statistical approaches. Published as a scientific paper by ACM, presented at the ARES conference in Italy.

Junior AI Developer at MedApp S.A.

August 1, 2020 - February 28, 2021

Tested new machine learning solutions in the classification of rare events in the ECG signal. Implementation of CNN and feature-based approach. Anomaly detection on real-world patient data from medical devices.