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Tatiana Rosenberg

@tatianarosenberg

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Senior deep learning engineer specializing in hardware-aware models, performance metrics, and data visualization.

Ireland

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What I'm looking for

I seek roles combining deep learning and hardware co-design where I can drive model optimizations, end-to-end validation, and clear performance insights for engineering teams.

I am a senior deep learning engineer with a strong foundation in applied mathematics and data analytics, focused on aligning deep learning software with hardware requirements. I build end-to-end solutions from model innovations to register-level execution and simulation validation.

At Intel I developed a centralized performance metrics database, designed PowerBI dashboards for anomaly detection and trend visualization, and implemented advanced deep learning features in Python and C++ to match RTL constraints.

My background includes SQL-based data aggregation and BI automation from experience as a graduate data analyst, where I automated reports, ensured data quality, and liaised with stakeholders. I bring practical experience integrating tests into CI pipelines and debugging simulations across hardware generations.

I collaborate closely with architecture, RTL, and cross-functional teams, contribute to recruitment, and apply rigorous testing and validation practices. I am motivated by improving model-hardware co-design, optimizing performance, and delivering actionable insights to engineering and leadership.

Experience

Work history, roles, and key accomplishments

Current

Senior Deep Learning HW Engineer

Current

Intel

Jul 2023 - Present (2 years 5 months)

Developed centralized performance metrics and automated CI validation to track regressions and benchmark models across hardware generations; implemented deep learning features in Python/C++ and collaborated with architecture/RTL teams to optimize hardware validation.

Python C++Deep Learning SQLAlchemy Jenkins RTL Simics Performance Testing

Graduate Data Analyst

AIB

Sep 2022 - Jun 2023 (9 months)

Automated BI reporting and implemented data integrations from a multi-tier warehouse, saving two days per month and ensuring data quality via SQL-driven testing and stakeholder-aligned dashboard updates.

SQL Qlik Data Visualization Automation)Data Quality Stakeholder Management Reporting Automation

Education

Degrees, certifications, and relevant coursework

National University of Ireland, Galway

Master of Science, Data Analytics

Activities and societies: Thesis research on GCNs and transfer learning; projects included a perceptron implementation in Python and a Spark Streaming program in Java.

Completed an MSc in Data Analytics with a thesis on malicious Ethereum address detection using graph convolutional networks and transfer learning.

University of California, Los Angeles

Bachelor of Science, Applied Mathematics

Activities and societies: Led a group project on penguin species classification and implemented visualization and evaluation functions for a scikit-learn RandomForest classifier.

Earned a Bachelor of Science in Applied Mathematics with coursework and projects in algorithms, classification, and machine learning.