Adrianna J.

Adrianna J.

Machine Learning Engineer

Ireland
Trusted member since 2024
9 years of experience

Currently serving as a Technology Research Associate Principal, she is skilled in Python, TensorFlow, SPARQL, Stardog, AmpliGraph, Scikit-Learn, Docker, Streamlit, and Git.

With four years of specialized experience in graph machine learning, Adrianna has notably worked in Accenture and made significant contributions to projects like CLARIFY, where she led machine learning experiments, conducted comprehensive evaluations, and managed the deployment of solutions to hospitals.

She holds a Bachelor’s in Control Engineering and Robotics and a double Master’s in Data Science with a minor in Entrepreneurship from EIT Digital, which underscores her strong technical foundation and entrepreneurial mindset.

Main expertise

DatabricksDatabricks4 years
OpenCVOpenCV5 years
Computer VisionComputer Vision5 years
CudaCuda7 years
3+

Experience2

Accenture

Technology Research Associate Principal

Accenture
Information Technology (IT) and Services
May 2020 · 6y 5m
  • Led the CLARIFY project to Accenture's Greater than Award Finals in the Inspiring Growth category, managing technology transfer for a neuro-symbolic query system on biomedical knowledge graphs;
  • Developed systems for relapse prediction and completed the TechStar 2023 leadership program;
  • Created a prototype REST API for AmpliGraph 2, demonstrated in client workshops;
  • Contributed to the EU Commission's CLARIFY H2020 project by delivering a client pilot, collaborating with 11 partners, and authoring deliverables;
  • Proposed four patent ideas, serving as lead author for two;
  • Co-supervised a PhD intern on interpretable Gene-Disease Prediction with GraphML;
  • Served as Virtual Buddy for a new joiner and participated in interview panels;
  • Presented at conferences such as Sketching in Hardware 2022, ESSEC Business School, and EIT Digital Alumni Annual Meeting on XAI and knowledge graphs;
  • Co-presented the COLING-22 Tutorial on Knowledge Graph Embeddings for NLP and authored a Medium Labs blog post on XAIl;
  • Conducted machine learning research on explainable AI for knowledge graph embedding models in precision medicine oncology applications;
  • Developed ExamplE, a novel explanation approach for link prediction, leading to a patent application and a Proof of Concept deployed at Hospital Puerta del Hierro for the CLARIFY H2020 project;
  • Designed experiments for lung cancer relapse prediction and contributed to the development of AmpliGraph 1.4;
  • Co-authored three deliverables to the EU Commission and submitted three patent ideas;
  • Achieved runner-up status in the Accenture Hackathon: Al4Insurance and participated in the Eco Innovation Challenge;
  • Collaborated with the Human Insight Lab on various initiatives.
FlaskFlask
Data ScienceData Science
TensorFlowTensorFlow
NumPyNumPy
PandasPandas
17+
Nokia

R&D Software Engineer

Nokia
Telecommunications
Mar 2015 - Sep 2017 · 2y 6m
  • Began as a Working Student and received promotions, changing roles while working in a team responsible for developing a component test framework for 5G components (R&D Python Software Developer);
  • Collaborated on time synchronization in Base Transceiver Stations, with main tasks including web application development with machine learning support in Python, hosted in the cloud (R&D Embedded Software Engineer);
  • Contributed by writing new features in C++, fixing software bugs, unit-testing, documenting, and employing best practices of Object-Oriented Programming (OOP) and Test-Driven Development (TDD).
FlaskFlask
PythonPython
Data ScienceData Science
TensorFlowTensorFlow
NumPyNumPy
7+

Engineering excellence

All Machine Learning Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Machine Learning Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Adrianna stands.

050100150200250300Engineering excellence scoreShare of engineersmedianmeanProxifyacceptancethreshold
Adrianna
Score 195 · Top 8% of engineers

Certificates 1

Databricks, Inc.
Databricks Certified Machine Learning AssociateDatabricks, Inc.

Issued Jan 2025 - Expires Jan 2027
Credential ID 131299902

DatabricksDatabricks
Databricks, Inc.
Databricks Certified Machine Learning AssociateDatabricks, Inc.

Issued Jan 2025 - Expires Jan 2027
Credential ID 131299902

DatabricksDatabricks
Do you want to know more about Adrianna’s certifications?Book a call

Education

RIO
Royal Institute of Technology (KTH)
Data Science2018 - 2020
CDU
Cote d'Azure University
Data Science2017 - 2019
Wroclaw University of Technology
Wroclaw University of Technology
Control Engineering and Robotics2012 - 2016

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