Adrianna Janik - Technology Research Assoc Principal at Accenture

Adrianna Janik

Technology Research Assoc Principal at Accenture

Dublin, Ireland

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Summary

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Rockstar

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Top School

Adrianna Janik is a research-driven AI leader with nine years of hands-on experience bridging advanced machine learning, explainable AI and knowledge graphs to solve life sciences and healthcare problems. As a Principal in Technology Research at Accenture she orchestrates LLMs, RAG pipelines and vector DBs while translating research prototypes into client-facing REST APIs and demos. She has driven EU-funded projects (CLARIFY H2020), authored academic papers and patents (including a post-hoc example-based explanation method) and led teams delivering interpretable relapse-prediction systems for oncology. A contributor to the AmpliGraph knowledge-graph library, she implemented graph partitioning and analysis tooling that improved data processing and quality assessment for KG embeddings. Recently completing an Executive MBA at Trinity Business School, Adrianna uniquely combines technical depth with product and business strategy to scale ethical AI in regulated domains. Colleagues describe her as a multidisciplinary connector who moves systems from experiment to impactful, auditable deployments.

9 years of coding experience

3 years of employment as a software developer

Master's of Science Data Science, Master's of Science Data Science at Université Côte d'Azur

Bachelor of Engineering (B.E.) Control Engineering and Robotics, Bachelor of Engineering (B.E.) Control Engineering and Robotics at Wrocław University of Science and Technology

Master's of Science Data Science, Master's of Science Data Science at KTH Royal Institute of Technology

High School Computer Science, High School Computer Science at 14th High School in Wrocław

Master of Business Administration - MBA Business Administration and Management General, Master of Business Administration - MBA Business Administration and Management General at Trinity Business School

Master of Science - MS Data Science, Master of Science - MS Data Science at EIT Digital Alumni

English, Polish

Github Skills (8)

representation-learning10

knowledge-graph10

python10

data-structure9

machine-learning9

algorithm9

data-structures9

algorithms9

Programming languages (6)

TeXJavaScriptJupyter NotebookRubyKotlinPython

Github contributions (5)

Accenture/AmpliGraph

Jun 2020 - May 2021

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Role in this project:

Back-end Developer

Contributions:2 reviews, 64 commits, 8 PRs in 11 months

Contributions summary:Adrianna implemented graph partitioning strategies and utility functions for analyzing the quality of those partitions. This involved creating an abstract class and derived classes for different partitioning approaches, including random vertex and edge-based methods. The user also developed utility functions for time and memory usage measurement and created a reporting class for assessing the partitioning quality using metrics like edge cut, imbalance, and time/memory consumption. This work focused on the data processing and analysis aspects of the knowledge graph library.

python-libraryrepresentationpythonknowledgerepresentation-learning

adrijanik/adrijanik.github.io

Aug 2018 - Oct 2023

Contributions:19 pushes in 5 years 2 months

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