Tianhui (Hilda) Zou-Fine-tuning Thesis Work - Generative AI for Automating Software Uplifts
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Experience
Fine-tuning Thesis Work - Generative AI for Automating Software Uplifts
Ericsson
- Explored state-of-the-art Generative AI techniques, mining selected GitHub repositories with all versions from the last 3 years.
- Built and maintained a cleaned dataset of 1M+ for LLM fine-tuning to detect breaking changes from third-party library updates.
- Fine-tuned CodeT5+ and Code Llama with the QLoRA method, achieving an F1-score above 95%, highlighting GenAI’s potential in software upgrades.
Reinforcement Learning – Lunar Lander
KTH Royal Institute of Technology
- Implemented Deep Q-Learning with a replay buffer and target networks.
- Optimized hyperparameters (discount factor, buffer size, learning rate), improving average reward to 200+ after ~350 episodes.
- Evaluated training curves, showing DQN outperforming the random agent.
Parallel Sobel Filtering for Fast Image Processing
KTH Royal Institute of Technology
- Implemented image preprocessing and matrix transformation in Python.
- Designed and parallelized the Sobel filter in C with MPI on Dardel (the top supercomputer), employing red-black communication to avoid deadlocks.
- Achieved strong parallel efficiency and near-linear speed-up up to 128 processors on 150k+ pixel images.
Industry Experience
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Experienced in Telecommunication and Education.
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Experienced in Information Technology and Research and Development.
Summary
Applied & Computational Mathematics graduate with expertise in Python, Machine Learning, and Generative AI. Experienced in fine-tuning LLMs and building large-scale datasets. Skilled in data preprocessing, feature engineering, and evaluation, with hands-on experience in ML pipelines and real-world projects.
Skills
Programming: Python (Pandas, Numpy), Sql (Bigquery, Mysql), R, Matlab
Ml Techniques: Fine-Tuning, Hyperparameter Optimization, Model Evaluation
Tools & Platforms: Git, Jupyter, Google Colab, Fastapi, Databricks, Kubernetes
Visualization: Tableau, Matplotlib
Adaptability
Communication
Persistence
Teamwork
Languages
Education
KTH Royal Institute of Technology
Master of Applied and Computational Mathematics · Applied and Computational Mathematics · Stockholm, Sweden
University of Science and Technology Beijing
Bachelor of Mathematics and Applied Mathematics · Mathematics and Applied Mathematics · Beijing, China
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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